Page 113 - Fundamentals of Communications Systems
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Review of Probability and Random Variables  3.27

                      Problem 3.11. In communications the phase shift induced by propagation be-
                      tween transmitter and receiver,   p , is often modeled as a random variable. A
                      common model is to have
                                                     1
                                              (φ) =        − π ≤ φ ≤ π
                                           f   p
                                                    2π
                                                  = 0      elsewhere
                      This is commonly referred to as a uniformly distributed random variable.
                                           (φ).
                      (a) Find the CDF, F   p
                      (b) Find the mean and variance of this random phase shift.
                       (c) It turns out that a communication system will work reasonably well if the
                          coherent phase reference at the receiver, ˆ   p , is within 30 of the true value
                                                                              ◦
                          of   p . If you implement a receiver with ˆ   p = 0, what is the probability the
                          communication system will work.
                      (d) Assuming you can physically move your system and change the propagation
                          delay to obtain an independent phase shift. What is the probability that your
                          system will work at least one out of two times?
                      (e) How many independent locations would you have to try to ensure a 90%
                          chance of getting your system to work?
                      Problem 3.12. You have just started work at Yeskia, which is a company that man-
                      ufactures FM transmitters for use in commercial broadcast. An FCC rule states
                      that the carrier frequency of each station must be within 1 part per million of the
                      assigned center frequency (i.e., if the station is assigned a 100 MHz frequency
                      then the oscillators deployed must be | f c − 100 MHz| < 100 Hz). The oscillator
                      designers within Yeskia have told you that the output frequency of their oscilla-
                      tors is well modeled as a Gaussian random variable with a mean of the desired
                                                           2
                      channel frequency and a variance of σ . Assume the lowest assigned center
                                                           f
                      frequency is 88.1 MHz and the highest assigned center frequency is 107.9 MHz.
                      (a) Which assigned center frequency has the tightest absolute set accuracy
                          constraint?
                      (b) For the frequency obtained in (a) with σ f = 40Hz, what is the probability
                          that a randomly chosen oscillator will meet the FCC specification?
                       (c) What value of σ f should you force the designers to achieve to guarantee
                          that the probability that a randomly chosen oscillator does not meet FCC
                                            −7
                          rules is less than 10 .
                      Problem 3.13. X is a Gaussian random variable with a mean of 2 and a variance
                      of 4.
                      (a) Plot f X (x).
                      (b) Plot F X (x).
                       (c) Plot the function g(x) = P (|X − 2| < x).
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