Page 481 - Fundamentals of Radar Signal Processing
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(6.87)

               Note that χ  is in decibels. The error in the estimate of χ  is less than 0.2 dB for
                            1
                                                                                  1
                                    –3
                  –7
               10   ≤ P   ≤  10 ,  0.1  ≤ P   ≤  0.9,  and  1  ≤ N  ≤  8096,  a  useful  range  of
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               parameters. For the special case of N = 1, Eq. (6.87) reduces to





                                                                                                       (6.88)

               On a linear (not decibel) scale, the last line of Eq. (6.88) is just χ  = A + 0.12AB
                                                                                            1
               + 1.7B.

                                                                                  –6
                     To  illustrate,  suppose P   =  0.9  and P   =  10   are  required  for  a
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               nonfluctuating  target  in  a  system  using  a  linear  detector.  If  detection  is  to  be
               based on a single sample, what is the required SNR of that sample? This is a
               direct  application  of  Albersheim’s  equation.  Compute A  =  ln(0.62  ×  10 )  =
                                                                                                         6
               13.34  and B = ln(9) = 2.197. Equation (6.88)  then  gives χ  = 13.14 dB; on a
                                                                                       1
               linear scale, this is 20.59.

                     If N = 100 samples are noncoherently integrated, it should be possible to
               obtain the same P  and P  with a lower single-sample SNR. To confirm this,
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               use Eq. (6.87). The intermediate parameters A and B are unchanged. χ  is now
                                                                                                    1
               reduced to –1.26 dB, a reduction of 14.4 dB corresponding to a factor of 27.54
               on  a  linear  scale.  This  value  closely  matches  that  obtained  using  the  exact

               expressions.  It  is  much  better  than  the       rule of thumb sometimes given for
               noncoherent integration, which would give a gain factor of only 10 for N = 100
               samples  integrated.  Rather,  the  gain  is  approximately N    in  this  example.
                                                                                      0.7
               Albersheim’s  equation  will  be  used  shortly  to  develop  an  expression  for
               estimating the noncoherent integration gain.
                     Albersheim’s equation is useful because it requires no function more exotic
               than the natural logarithm and square root for its evaluation so it can be used

               with  virtually  any  scientific  calculator.  If  a  somewhat  larger  error  can  be
               tolerated,  it  can  also  be  used  for  square-law  detector  results  for  the
               nonfluctuating  target,  Gaussian  noise  case.  Specifically,  square  law  detector
               results are within 0.2 dB of linear detector results (Robertson, 1967; Tufts and
               Cann, 1983). Thus, the same equation can be used for rough calculations over

               the range of parameters given previously with errors not exceeding 0.4 dB.
                     Equations (6.87)  and (6.88)  provide  for  calculation  of χ   given P , P ,
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