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Analog Communications Basics  5.9

                      ■ Complexity – This metric almost always translates directly into cost.
                      ■ Fidelity – This metric typically measures how accurate the received message
                        estimate is given the amount of transmitted power.
                      ■ Spectral Efficiency – This metric measures how much bandwidth a modula-
                        tion uses to implement the communication.
                        Complexity is a quantity that requires engineering judgment to estimate.
                      Often the cost of a certain level of complexity changes over time. What were seen
                      as good design choices in terms of complexity in the 1930s when vacuum tubes
                      were prevalent seem somewhat silly today with the prevalance of integrated
                      circuits and complex electronic devices.
                        The fidelity of the communication system is typically a measure of how well
                      the message is reconstructed at the demodulator output. The message at the
                      output of the demodulator can always be classified as

                                         ˆ m(t) = Am(t) + N L (t) = m e (t) + N L (t)     (5.9)

                      where A is an amplitude gain on the signal, m e (t) is the effective message
                      estimate, and N L (t) is a combination of the noise and distortion produced in
                      demodulation. Engineers in practice have many ways to characterize the fidelity
                      of the message estimate. In this introductory course we will concentrate on the
                      idea of signal power-to-noise power ratio (SNR). The demodulator output SNR
                      is defined as
                                                         2
                                                        A P m   P m e
                                                 SNR =        =                          (5.10)
                                                         P N    P N
                      where P m is defined in Eq. (5.1) and the noise or distortion power will require
                      the tools in Chapter 9 to define. The SNR is typically a function of the received
                      signal power, the noise power, and the demodulator processing. It should be
                      noted in this text that since the channel model that is being adopted is r z (t) =
                      x z (t)e  j φ p  this implies that the received power is equal to the transmitted power
                               ). This is obviously not the case in a real communication system but
                      (P r z  = P x z
                      is true in the idealized models assumed in this book.
                        Communications engineers usually like to compare performance to an ideal-
                      ized standard to get a metric for fidelity produced by a communication system.
                      The idealized metric for performance used in this text is the system where the
                      message is transmitted directly across a baseband channel. The block diagram
                      of this system is shown in Figure 5.9. The resulting output SNR from this system
                      will be denoted SNR b . The figure of merit in assessing system performance is
                      the ratio of the output SNR to the reference SNR for a common received signal
                                . We denote this quantity as the transmission efficiency, i.e.,
                      power, P r z
                                                           SNR
                                                     E T =                               (5.11)
                                                          SNR b
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