Page 115 - Fundamentals of Communications Systems
P. 115

Review of Probability and Random Variables  3.29

                      (d) How many independent locations would you have to try to ensure a 90%
                          chance of getting your cellular phone to work?

                      Problem 3.18. The function randn in Matlab produces realizations of a zero
                      mean–unit variance Gaussian random variable each time it is called. This
                      problem leads you to ways to use this function in more general ways. Assume
                      X is a Gaussian random variable with zero mean and unit variance.
                      (a) Define a random variable Y = X + b, find f Y (y).
                      (b) Define a random variable Y     = aX, where a > 0, find f Y (y) (use
                          Example 3.11).
                       (c) How can you transform X, Y = g(X), so that Y is a Gaussian random
                          variable with m Y = b and σ Y = a?
                      (d) Test out your answer by invoking randn 1000 times and transforming these
                          1000 samples as you propose in c) with m y = 6 and σ y = 2. Plot a histogram
                          of the transformed output.

                      Problem 3.19. This problem gives both a nice insight into the idea of a corre-
                      lation coefficient and shows how to generate correlated random variables in
                      simulation. X and W are two zero mean independent random variables where
                           2
                                              2
                                         2
                      E[X ] = 1 and E[W ] = σ . A third random variable is defined as Y = ρX +W,
                                              W
                      where ρ is a deterministic constant such that −1 ≤ ρ ≤ 1.
                      (a) Prove E[XW] = 0. In other words prove that independence implies uncor-
                          relatedness.
                                               2
                      (b) Choose σ 2  such that σ = 1.
                                  W           Y
                                          2
                       (c) Find ρ XY when σ W  is chosen as in part (b).
                      Problem 3.20. You are designing a phase-locked loop as an FM demodulator. The
                      requirement for your design is that the loop bandwidth must be greater than
                      5 kHz and less than 7 kHz. You have computed the loop bandwidth and it is
                      given as

                                                          3
                                                  B L = 4R + 2000
                      where R is a resistor in the circuit. It is obvious that choosing R = 10 will solve
                      your problem. Unfortunately, resistors are random valued.

                      (a) If the resistors used in manufacturing your FM demodulator are uniformly
                          distributed between 9 and 11 , what is the probability that the design will
                          meet the requirements?
                      (b) If the resistors used in manufacturing your FM demodulator are Gaussian
                          random variables with a mean of 10   and a standard deviation of 0.5  ,
                          what is the probability that the design will meet the requirements?
   110   111   112   113   114   115   116   117   118   119   120