Page 484 - Fundamentals of Radar Signal Processing
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and the RCS of a group of N samples follows either the uncorrelated or fully

               correlated model as described in Chap. 2. Note that using a fluctuating target
               model has no effect on the probability of false alarm. P  is determined only by
                                                                                 FA
               the PDF when no target is present; thus Eq. (6.79) still applies.
                     The  strategy  for  determining  the  probability  of  detection  depends  on  the
               target fluctuation model used. Figure 6.13 illustrates the approach. In all cases,
               the  PDF  of  the  magnitude-squared  of  a  single  sample  of  signal  +  noise  is  a

               generalized  noncentral  chi-squared  so  that  the  CF  of  a  single  square-law
               detected  sample  is  still  given  by Eq.  (6.83).  However,  the  SNR  in  that
               expression  is  now  a  random  variable  because  the  target  RCS  is  a  random
               variable.




































               FIGURE 6.13   Strategy for computing P  for fluctuating target models.
                                                             D



                     In a fully correlated case (e.g., Swerling 1 or 3) the target RCS is a fixed
               value  for  all N  pulses  integrated  to  form z′.  Thus,  the  CF  of z′  is  the N-fold
               product of Eq. (6.83) with itself







                                                                                                       (6.93)

               This  is  the  same  expression  as Eq.  (6.84)  except  that  now C   is  written
                                                                                               z′
               explicitly as a function of all of q, χ, and N. Next take the expected value of the
               CF over the SNR
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