Page 297 - Fundamentals of Radar Signal Processing
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It  follows  that  applying  a K-point  DFT  to  the  slow-time  sequence

               implements K filters, each matched to a different incremental delay δt. Thus, the
               DFT of the slow-time data within a single range bin for a stepped frequency
               waveform  is  a  map  of  echo  amplitude  versus  incremental  range  within  that
               coarse range bin.
                     The DTFT of an M-point sinusoid has a Rayleigh frequency resolution of
               Δf = 1/M cycles per sample. Using the scaling between f and t from Eq. (4.129),

               the  corresponding  time  resolution  is  Δt  =  1/M  ·  ΔF  seconds;  the  range
               resolution is therefore





                                                                                                     (4.131)


               where β  is  the  total  stepped  bandwidth M  ·  ΔF.  Thus,  the  linearly  stepped

               frequency  waveform  achieves  the  same  range  resolution  as  a  single  pulse  of
               bandwidth β. If a K-point DFT is used to process the slow-time data the DFT
               output will provide range measurements at intervals of





                                                                                                     (4.132)


               Since K  ≥  M  normally,  the  DFT  output  provides  echo  amplitude  samples  at

               intervals  equal  to  or  less  than  the  range  resolution.  This  fine-resolution
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               reflectivity map is often called a high resolution range profile  or just a range
               profile.
                     The total bandwidth β of the stepped frequency waveform is determined by
               the desired range resolution. It can be realized by various combinations of the
               number of frequency steps M and the step size ΔF. To determine how to choose

               these parameters, note that the DTFT of the slow-time data is periodic in ω with
               period 2π radians per sample. Because the DTFT peak is at ω  = 2πΔFδt, the
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               range profile is periodic in δt with period 1/ΔF. This periodicity establishes the
               required coarse range bin spacing. Specifically, avoiding range ambiguities in
               the range profile requires c/2ΔF > L, where L is the maximum target length of
                                                                       t
                                                           t
               interest. Once ΔF  is  chosen, M is selected to span the bandwidth required to
               provide  the  desired  fine  range  resolution.  The  DFT  range  profile  then
               effectively breaks each relatively large coarse range bin (c/2ΔF meters) into M
               fine-resolution range bins (c/2β meters) sampled at K points within the coarse
               range bin. If K = M the range sample spacing equals the range resolution. If K >
               M  the  range  profile  is  oversampled  compared  to  the  resolution  by  the  factor
               K/M.  The  pulse  length τ  is  chosen  to  balance  straddle  losses  and  range
               ambiguities. Recall that the single-pulse matched filter output s (t) is 2τ seconds
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               long. Choosing τ < 1/2ΔF means that s (t) will be no more than 1/ΔF seconds
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