Page 419 - Fundamentals of Radar Signal Processing
P. 419

apparent  Doppler  shift F,  the  actual  Doppler  shift  must  be  of  the  form F  +
                                                                                                          t
                                              t
               k·PRF  for  some  integer k.  Use  of  the  DFT  for  spectral  estimation  results  in
               quantization of the Doppler spectrum into Doppler bins (equivalently, velocity
               bins), analogous to range bins in the range dimension. The same techniques used
               for range disambiguation can therefore be used to resolve velocity ambiguities
               as well.
                     The  coincidence  algorithm  can  be  readily  extended  to  simultaneously

               disambiguate  detections  in  both  range  and  Doppler.  Other  extensions  to  deal
               with  radar  systems  that  do  not  use  the  same  range  resolution  in  each  PRF
               (typically so as to maintain constant duty cycle) or the same velocity resolution,
               as well as references to other disambiguation algorithms are given in Alabaster
               (2012).  A  newer  approach  using  the  emerging  technique  of  sparse
               reconstruction has been proposed in Shaban and Richards (2013). It also works
               in  range  and  Doppler  simultaneously  and  appears  tolerant  of  reasonable

               numbers of missed detections due to blind zones or other causes, false alarms,
               and other data inconsistencies.




               5.6   Clutter Mapping and the Moving Target Detector



               5.6.1   Clutter Mapping
               All of the MTI and pulse Doppler processing discussed so far has been focused
               on  reducing  the  clutter  power  that  interferes  with  the  signature  of  a  moving
               target  so  as  to  improve  the  SIR  and  ultimately  the  probability  of  detection.

               These techniques are not effective for targets with little or no Doppler shift, and
               that therefore are not separable from the clutter based on Doppler shift. Clutter
               mapping is a technique for detection of moving targets with zero or very low
               Doppler  shift.  It  is  intended  for  maintaining  detection  of  targets  on  crossing
               paths,  that  is,  passing  orthogonal  to  the  radar  line  of  sight  so  that  the  radial
               velocity  is  zero;  such  targets  are  discarded  by  MTI  and  pulse  Doppler

               processing. Clutter mapping can be effective if the target RCS is relatively large
               and the competing clutter is relatively weak, a situation depicted in Fig. 5.40
               that  can  arise  for  instance  in  a  ground-based  air  surveillance  radar.  In  that
               situation  the  antenna  is  tilted  upward  so  that  mainlobe  ground  clutter  is  not
               present  to  compete  with  the  target  echo  (though  weather  clutter  may  be);  the
               clutter is primarily from the sidelobes.
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