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improves detection for values of p down to approximately 0.23, still well above

               any likely single-trial false P . Thus the “2 of 4” rule appears to be the best
                                                   FA
               choice when N = 4.






































               FIGURE 6.16   Ratio of the binary integrated probability to the single-trial
               probability for an “M of 4” binary integration rule.



                     Recall that a nonfluctuating target has been implicitly assumed since the
               single-trial P   was  taken  to  be  the  same  on  each  trial.  The  results  can  be
                               D
               extended to fluctuating targets (Weiner, 1991; Shnidman, 1998). One result of
               these analyses is that for a given Swerling model, P  specification, SNR, and
                                                                              FA
               number of trials N, there is a value M   of M  that  maximizes P  for a given
                                                              opt
                                                                                             BD
               P BFA , N, and SNR. M  can be estimated as
                                        opt



                                                                                                     (6.120)

               where the parameters a and b are given in Table 6.4 for the various Swerling
                                                                  –4
               models with P  = 0.9 and 10-  ≤ P  ≤ 10  (“Swerling 0” is the nonfluctuating
                                                   8
                                D
                                                         FA
               case) (Shnidman, 1998). M  must be rounded to the nearest integer.
                                               opt
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