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− | <font size= 4> | + | <font size="4">[[ECE PhD Qualifying Exams|ECE Ph.D. Qualifying Exam]] </font> |
− | [[ | + | |
− | </font | + | |
− | <font size= 4> | + | <font size="4">Communication, Networking, Signal and Image Processing (CS)</font> |
− | Communication, Networking, Signal and Image Processing (CS) | + | |
− | Question 3: Communications | + | <font size="4">Question 3: Communications </font> |
− | </font | + | |
− | August | + | August 2011 |
− | </center> | + | </center> |
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+ | |||
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− | |||
− | + | == Question == | |
+ | |||
+ | Problem 1. Suppose a system is monitored daily, except on Sundays, because it is faulty half of the time. On Mondays, Wednesdays, and Fridays at noon, if everything checks out fine, a sensor sends a signal with amplitude <math>-A</math>, where <math>A</math> is a positive constant, millivolts along a pair of wires. However, if there is a fault, the sensor sends a signal with amplitude <math>A</math> millibolts along the pair of wires. In both cases the duration of the signal from the sensor is ten seconds. The signals are fliped on Tuesdays, Thursdays, and Saturdays, that is, the positive polarity indicates that everything is fine and negative polarity indicates that there is a fault on these days. The additive white Gaussian two-sided noise power spectral density on the wires is <math>N_0</math>/2 = 5x<math>10^{-6}</math> <math>V^2</math>/<math>Hz</math>. | ||
+ | |||
+ | (a) Precisely define a receiver structure that takes the signal from the pairs of wires in order to determine whether a fault exists in the system from the pair of wires in order to determine whether a fault exists in the system on Mondays, Wednesdays, and Fridays. The receiver must minimize the probability of being wrong in this fault asessment. If there is any filtering of the signal on the wire, sampling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values. | ||
+ | |||
+ | (b) Explain how the system that you designed in Part (a) should be modified to work on Tuesdays, Thursdays, and Saturdays. | ||
+ | |||
+ | (c) Find the probability that the optimal system-fault-detecting receiver (of Part (a)) is wrong in its assessment of the condition of the system. | ||
+ | |||
+ | (d) Suddenly, the system is fixed and works perfectly, but now the clocked power to the sensor begins to fail so that half of the weeks the sensor works perfectly as described and half of the weeks it sends no signal at all. Precisely define (as before) a receiver structure that begins working at noon on Monday to detect whether the sensor is working or not and that minimizes the probability of being wrong in this assessment. It must report its answer by Sunday. | ||
+ | |||
+ | (e) Find the probability that the optimal sensor-fault-detecting receiver (of Part (d)) is wrong in its assessment of the condition of the sensor. | ||
+ | |||
+ | (f) How does your receiver design change in Part (d) if, because of temperature changes in the system, the two-sided noise power spectral density becomes 10x<math>10^{-6}</math> <math>V^2</math>/<math>Hz</math> on Tuesdays, Thursdays, and Saturdays and remains at 5x<math>10^{-6}</math> <math>V^2</math>/<math>Hz</math> on Mondays, Wednesdays, and Fridays? | ||
+ | |||
---- | ---- | ||
− | ==Solution 1== | + | |
− | + | == Solution 1 == | |
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(a) } T=10sec | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=-A P_T(t), s_1(t)=A P_T(t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} h(t)=s_0(T-t)-s_1(T-t)=-2A P_T(T-t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_0=s_0(t)*h(t)|_{t=T}=2A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=-2A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} r_m=\frac12(\mu_0+\mu_1)=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_1.jpg]] | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(b) } T=10sec | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=A P_T(t), s_1(t)=-A P_T(t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} h(t)=-2A P_T(T-t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_0=s_0(t)*h(t)|_{t=T}=-2A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=2A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} r_m=\frac12(\mu_0+\mu_1)=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_2.jpg]] | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(c) } \mu_1=-2A^2T=-20A^2 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot4A^2T=5\times10^{-6}\cdot4A^2\cdot10=2\times10^{-4}\cdot A^2 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,avg}=Q(\frac{r_m-\mu_1}{\sigma})=Q(\frac{0-(-20A^2)}{\sqrt{2\times10^{-4}\cdot A^2}})=Q(\frac{20A^2}{\sqrt{2}\times10^{-2}\cdot A})=Q(1000\sqrt{2}A) | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(d) } \text{Mondays, Wednesdays, and Fridays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=-AP_T(t), s_1(t)=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} h(t)=s_0(T-t)-s_1(T-t)=-AP_T(T-t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_0=s_0(t)*h(t)|_{t=T}=A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} r_m=\frac{1}{2}(\mu_0+\mu_1)=\frac{1}{2}(A^2T+0)=\frac{A^2T}{2} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_3.jpg]] | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{Tuesdays, Thursdays, and Saturdays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=AP_T(t), s_1(t)=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} h(t)=-AP_T(T-t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_0=s_0(t)*h(t)|_{t=T}=-A^2T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} r_m=\frac{1}{2}(\mu_0+\mu_1)=\frac{1}{2}(-A^2T+0)=-\frac{A^2T}{2} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_4.jpg]] | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{Sundays } | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{We cannot detect whether the sensor is working or not on Sunday.} | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(e) } \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot A^2T=5\times10^{-6}\cdot A^2\cdot10=5\times10^{-5}\cdot A^2 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{Mondays, Wednesdays, and Fridays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,avg}=Q(\frac{\mu_0-\mu_1}{2\sigma})=Q(\frac{A^2T-0}{2\sigma})=Q(\frac{A^2\cdot10}{2\sqrt{5\times10^{-5}\cdot A^2}})=Q(500\sqrt{2}A) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{Tuesdays, Thursdays, and Saturdays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,avg}=Q(\frac{\mu_0-\mu_1}{2\sigma})=Q(\frac{0-(-A^2T)}{2\sigma})=Q(500\sqrt{2}A) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \therefore P_{e,avg}=Q(500\sqrt{2}A) | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{(f) The receiver does not need to change. Noise affects only the error probability.} | ||
+ | </math></span></font> | ||
+ | |||
---- | ---- | ||
− | ==Solution 2== | + | |
− | + | == Solution 2 == | |
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{We can define } h(t)=c(s_0(T-t)-s_1(T-t))\text{ where c=constant.} | ||
+ | </math></span></font> | ||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{Thus, the signs and values of } Z_i \text{ can change depending on } c\text{ and the threshold device can also change.} | ||
+ | </math></span></font> | ||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{However, the signs and values of } Z_i \text{ does not affect on the probability that the receiver is wrong.} | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_i(t)=(-1)^iAP_T(t) (\text{where } T=10s) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} n(t)\rightarrow S_n(f)=\frac{N_0}{2}=5\text{x}10^{-6} V^2/Hz | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{(a) Define a receiver structure (Mondays, Wednesdays, and Fridays)} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_5.jpg]] | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} Z_i=r(t)*h(t)|_{t=T}=s_i(t)*h(t)|_{t=T}+n(t)*h(t)|_{t=T}=\tilde{s}_i(T)+\tilde{n}(T) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{In this question, } c=-\frac{1}{2A}. | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{(b) Define a receiver structure (Tuesdays, Thursdays, and Saturdays)} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_6.jpg]] | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{In this question, } c=\frac{1}{2A}. | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{(c) } s_1(t)=-AP_T(t) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=-AT | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \sigma^2=\frac{N_0}{2}\parallel h \parallel^2=\frac{N_0}{2}T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,avg}=P_{e,m}=Q(\frac{0-(-AT)}{\sigma})=Q(A\sqrt{\frac{2T}{N_0}}) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(d) Define a receiver structure} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{- Mondays, Wednesdays, and Fridays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=-AP_T(t), s_1(t)=0 \rightarrow \text{threshold value } r_m=-\frac{AT}{2} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_7.jpg]] | ||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{In this question, } c=-\frac{1}{A}. | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{- Tuesdays, Thursdays, and Saturdays} | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} s_0(t)=AP_T(t), s_1(t)=0 \rightarrow \text{threshold value } r_m=\frac{AT}{2} | ||
+ | </math></span></font> | ||
+ | |||
+ | [[Image:Pic_8.jpg]] | ||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{red} \text{In this question, } c=\frac{1}{A}. | ||
+ | </math></span></font>' | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{- Sundays } | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{It is impossible to detect whether the sensor is working or not.} | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black}\text{(e) } s_1(t)=s_{1,(M,W,F)}(t)=s_{1,(T,Th,S)}(t)=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot T | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,m,(M,W,F)}=Q(\frac{0-(-\frac{AT}{2})}{\sigma})=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} P_{e,m,(T,Th,S)}=Q(\frac{\frac{AT}{2}-0}{\sigma})=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) | ||
+ | </math></span></font> | ||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \therefore P_{e,avg}=P_{e,m,(M,W,F)}=P_{e,m,(T,Th,S)}=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
+ | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{black} \text{(f) The receiver is same as that of Part (d).} | ||
+ | </math></span></font> | ||
+ | |||
+ | |||
---- | ---- | ||
− | [[ | + | |
+ | == Related Problem == | ||
+ | |||
+ | Suppose a system is monitored daily, because it is faulty half of the time. A sensor sends different signals every 3 days. On the first day, if everything checks out fine, the sensor sends a signal with amplitude <math>A</math>, where <math>A</math> is a positive constant, millivolts along a pair of wires. However, if there is a fault, the sensor sends a signal with amplitude <math>-A</math> millibolts along the pair of wires. In both cases the duration of the signal from the sensor is one seconds. On the second day, the signals change <math>-2A</math> for fine, <math>2A</math> for fault. On the third day, the signals change <math>3A</math> for fine, <math>-3A</math> for fault. The additive white Gaussian two-sided noise power spectral density on the wires is <math>N_0</math>/2 = 5x<math>10^{-6}</math> <math>V^2</math>/<math>Hz</math>. | ||
+ | |||
+ | (a) Precisely define a receiver structure that takes the signal from the pairs of wires in order to determine whether a fault exists in the system from the pair of wires in order to determine whether a fault exists in the system on the first day. The receiver must minimize the probability of being wrong in this fault asessment. If there is any filtering of the signal on the wire, sampling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values. | ||
+ | |||
+ | (b) Explain how the system that you designed in Part (a) should be modified to work on the second day. | ||
+ | |||
+ | (c) If you use the same threshold device as that of Part (a), explain how the filter you designed in Part (a) should be modified to work on the third day. | ||
+ | |||
+ | (d) Find the probability that the optimal system-fault-detecting receiver (of Part (c)) is wrong in its assessment of the condition of the system. | ||
+ | |||
+ | ---- | ||
+ | |||
+ | [[ECE PhD Qualifying Exams|Back to ECE Qualifying Exams (QE) page]] | ||
+ | |||
+ | [[Category:ECE]] [[Category:QE]] [[Category:CNSIP]] [[Category:Problem_solving]] [[Category:Communication]] |
Latest revision as of 00:05, 5 November 2013
Communication, Networking, Signal and Image Processing (CS)
Question 3: Communications
August 2011
Question
Problem 1. Suppose a system is monitored daily, except on Sundays, because it is faulty half of the time. On Mondays, Wednesdays, and Fridays at noon, if everything checks out fine, a sensor sends a signal with amplitude $ -A $, where $ A $ is a positive constant, millivolts along a pair of wires. However, if there is a fault, the sensor sends a signal with amplitude $ A $ millibolts along the pair of wires. In both cases the duration of the signal from the sensor is ten seconds. The signals are fliped on Tuesdays, Thursdays, and Saturdays, that is, the positive polarity indicates that everything is fine and negative polarity indicates that there is a fault on these days. The additive white Gaussian two-sided noise power spectral density on the wires is $ N_0 $/2 = 5x$ 10^{-6} $ $ V^2 $/$ Hz $.
(a) Precisely define a receiver structure that takes the signal from the pairs of wires in order to determine whether a fault exists in the system from the pair of wires in order to determine whether a fault exists in the system on Mondays, Wednesdays, and Fridays. The receiver must minimize the probability of being wrong in this fault asessment. If there is any filtering of the signal on the wire, sampling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values.
(b) Explain how the system that you designed in Part (a) should be modified to work on Tuesdays, Thursdays, and Saturdays.
(c) Find the probability that the optimal system-fault-detecting receiver (of Part (a)) is wrong in its assessment of the condition of the system.
(d) Suddenly, the system is fixed and works perfectly, but now the clocked power to the sensor begins to fail so that half of the weeks the sensor works perfectly as described and half of the weeks it sends no signal at all. Precisely define (as before) a receiver structure that begins working at noon on Monday to detect whether the sensor is working or not and that minimizes the probability of being wrong in this assessment. It must report its answer by Sunday.
(e) Find the probability that the optimal sensor-fault-detecting receiver (of Part (d)) is wrong in its assessment of the condition of the sensor.
(f) How does your receiver design change in Part (d) if, because of temperature changes in the system, the two-sided noise power spectral density becomes 10x$ 10^{-6} $ $ V^2 $/$ Hz $ on Tuesdays, Thursdays, and Saturdays and remains at 5x$ 10^{-6} $ $ V^2 $/$ Hz $ on Mondays, Wednesdays, and Fridays?
Solution 1
$ \color{black}\text{(a) } T=10sec $
$ \color{black} s_0(t)=-A P_T(t), s_1(t)=A P_T(t) $
$ \color{black} h(t)=s_0(T-t)-s_1(T-t)=-2A P_T(T-t) $
$ \color{black} \mu_0=s_0(t)*h(t)|_{t=T}=2A^2T $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=-2A^2T $
$ \color{black} r_m=\frac12(\mu_0+\mu_1)=0 $
$ \color{black}\text{(b) } T=10sec $
$ \color{black} s_0(t)=A P_T(t), s_1(t)=-A P_T(t) $
$ \color{black} h(t)=-2A P_T(T-t) $
$ \color{black} \mu_0=s_0(t)*h(t)|_{t=T}=-2A^2T $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=2A^2T $
$ \color{black} r_m=\frac12(\mu_0+\mu_1)=0 $
$ \color{black}\text{(c) } \mu_1=-2A^2T=-20A^2 $
$ \color{black} \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot4A^2T=5\times10^{-6}\cdot4A^2\cdot10=2\times10^{-4}\cdot A^2 $
$ \color{black} P_{e,avg}=Q(\frac{r_m-\mu_1}{\sigma})=Q(\frac{0-(-20A^2)}{\sqrt{2\times10^{-4}\cdot A^2}})=Q(\frac{20A^2}{\sqrt{2}\times10^{-2}\cdot A})=Q(1000\sqrt{2}A) $
$ \color{black}\text{(d) } \text{Mondays, Wednesdays, and Fridays} $
$ \color{black} s_0(t)=-AP_T(t), s_1(t)=0 $
$ \color{black} h(t)=s_0(T-t)-s_1(T-t)=-AP_T(T-t) $
$ \color{black} \mu_0=s_0(t)*h(t)|_{t=T}=A^2T $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 $
$ \color{black} r_m=\frac{1}{2}(\mu_0+\mu_1)=\frac{1}{2}(A^2T+0)=\frac{A^2T}{2} $
$ \color{black} \text{Tuesdays, Thursdays, and Saturdays} $
$ \color{black} s_0(t)=AP_T(t), s_1(t)=0 $
$ \color{black} h(t)=-AP_T(T-t) $
$ \color{black} \mu_0=s_0(t)*h(t)|_{t=T}=-A^2T $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 $
$ \color{black} r_m=\frac{1}{2}(\mu_0+\mu_1)=\frac{1}{2}(-A^2T+0)=-\frac{A^2T}{2} $
$ \color{black} \text{Sundays } $
$ \color{black} \text{We cannot detect whether the sensor is working or not on Sunday.} $
$ \color{black}\text{(e) } \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot A^2T=5\times10^{-6}\cdot A^2\cdot10=5\times10^{-5}\cdot A^2 $
$ \color{black} \text{Mondays, Wednesdays, and Fridays} $
$ \color{black} P_{e,avg}=Q(\frac{\mu_0-\mu_1}{2\sigma})=Q(\frac{A^2T-0}{2\sigma})=Q(\frac{A^2\cdot10}{2\sqrt{5\times10^{-5}\cdot A^2}})=Q(500\sqrt{2}A) $
$ \color{black} \text{Tuesdays, Thursdays, and Saturdays} $
$ \color{black} P_{e,avg}=Q(\frac{\mu_0-\mu_1}{2\sigma})=Q(\frac{0-(-A^2T)}{2\sigma})=Q(500\sqrt{2}A) $
$ \color{black} \therefore P_{e,avg}=Q(500\sqrt{2}A) $
$ \color{black} \text{(f) The receiver does not need to change. Noise affects only the error probability.} $
Solution 2
$ \color{red} \text{We can define } h(t)=c(s_0(T-t)-s_1(T-t))\text{ where c=constant.} $ $ \color{red} \text{Thus, the signs and values of } Z_i \text{ can change depending on } c\text{ and the threshold device can also change.} $ $ \color{red} \text{However, the signs and values of } Z_i \text{ does not affect on the probability that the receiver is wrong.} $
$ \color{black} s_i(t)=(-1)^iAP_T(t) (\text{where } T=10s) $
$ \color{black} n(t)\rightarrow S_n(f)=\frac{N_0}{2}=5\text{x}10^{-6} V^2/Hz $
$ \color{black} \text{(a) Define a receiver structure (Mondays, Wednesdays, and Fridays)} $
$ \color{black} Z_i=r(t)*h(t)|_{t=T}=s_i(t)*h(t)|_{t=T}+n(t)*h(t)|_{t=T}=\tilde{s}_i(T)+\tilde{n}(T) $
$ \color{red} \text{In this question, } c=-\frac{1}{2A}. $
$ \color{black} \text{(b) Define a receiver structure (Tuesdays, Thursdays, and Saturdays)} $
$ \color{red} \text{In this question, } c=\frac{1}{2A}. $
$ \color{black} \text{(c) } s_1(t)=-AP_T(t) $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=-AT $
$ \color{black} \sigma^2=\frac{N_0}{2}\parallel h \parallel^2=\frac{N_0}{2}T $
$ \color{black} P_{e,avg}=P_{e,m}=Q(\frac{0-(-AT)}{\sigma})=Q(A\sqrt{\frac{2T}{N_0}}) $
$ \color{black}\text{(d) Define a receiver structure} $
$ \color{black} \text{- Mondays, Wednesdays, and Fridays} $
$ \color{black} s_0(t)=-AP_T(t), s_1(t)=0 \rightarrow \text{threshold value } r_m=-\frac{AT}{2} $
$ \color{red} \text{In this question, } c=-\frac{1}{A}. $
$ \color{black} \text{- Tuesdays, Thursdays, and Saturdays} $
$ \color{black} s_0(t)=AP_T(t), s_1(t)=0 \rightarrow \text{threshold value } r_m=\frac{AT}{2} $
$ \color{red} \text{In this question, } c=\frac{1}{A}. $'
$ \color{black} \text{- Sundays } $
$ \color{black} \text{It is impossible to detect whether the sensor is working or not.} $
$ \color{black}\text{(e) } s_1(t)=s_{1,(M,W,F)}(t)=s_{1,(T,Th,S)}(t)=0 $
$ \color{black} \mu_1=s_1(t)*h(t)|_{t=T}=0 $
$ \color{black} \sigma^2=\frac{N_0}{2}\parallel h\parallel^2=\frac{N_0}{2}\cdot T $
$ \color{black} P_{e,m,(M,W,F)}=Q(\frac{0-(-\frac{AT}{2})}{\sigma})=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) $
$ \color{black} P_{e,m,(T,Th,S)}=Q(\frac{\frac{AT}{2}-0}{\sigma})=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) $
$ \color{black} \therefore P_{e,avg}=P_{e,m,(M,W,F)}=P_{e,m,(T,Th,S)}=Q(\frac{A}{2}\sqrt{\frac{2T}{N_0}}) $
$ \color{black} \text{(f) The receiver is same as that of Part (d).} $
Related Problem
Suppose a system is monitored daily, because it is faulty half of the time. A sensor sends different signals every 3 days. On the first day, if everything checks out fine, the sensor sends a signal with amplitude $ A $, where $ A $ is a positive constant, millivolts along a pair of wires. However, if there is a fault, the sensor sends a signal with amplitude $ -A $ millibolts along the pair of wires. In both cases the duration of the signal from the sensor is one seconds. On the second day, the signals change $ -2A $ for fine, $ 2A $ for fault. On the third day, the signals change $ 3A $ for fine, $ -3A $ for fault. The additive white Gaussian two-sided noise power spectral density on the wires is $ N_0 $/2 = 5x$ 10^{-6} $ $ V^2 $/$ Hz $.
(a) Precisely define a receiver structure that takes the signal from the pairs of wires in order to determine whether a fault exists in the system from the pair of wires in order to determine whether a fault exists in the system on the first day. The receiver must minimize the probability of being wrong in this fault asessment. If there is any filtering of the signal on the wire, sampling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values.
(b) Explain how the system that you designed in Part (a) should be modified to work on the second day.
(c) If you use the same threshold device as that of Part (a), explain how the filter you designed in Part (a) should be modified to work on the third day.
(d) Find the probability that the optimal system-fault-detecting receiver (of Part (c)) is wrong in its assessment of the condition of the system.