Page 126 - Fundamentals of Radar Signal Processing
P. 126

This is not the only way a set of related measurements can arise. Many
               modern systems are designed to transmit a rapid burst of M pulses at a constant
               PRF, often with the antenna staring in a fixed or nearly fixed direction, forming

               a coherent processing interval (CPI) of data. As will be seen in Chap. 4, the M-
               pulse burst is a common waveform well suited to Doppler measurements and
               interference suppression. The radar may then repeat the measurement, collecting
               a series of N CPIs in the same look direction. Successive CPIs may share the
               same radar parameters, or the radar may change the PRF, the waveform, or the

               RF (frequency agility). The data from the same range bin within a single CPI are
               usually combined coherently, for instance to form a Doppler spectrum for that
               range  bin.  However,  combining  data  across  CPIs  must  generally  be  done
               noncoherently.  An  example  would  be  noncoherent  integration  of N
               measurements of the same range-Doppler resolution cell in the N CPIs as shown
               in Fig. 2.15b, prior to testing that cell for the presence of a target.
                     If  the  target,  the  radar,  or  both  are  moving  during  the  time  a  set  of N
               measurements is collected, a natural question is whether the target RCS during

               that time should be considered constant or varying. That is, assuming frequency
               agility is not used, does the radar-target aspect angle vary so little that the RCS
               should be modeled as the same random variable during the entire set of N pulses
               or CPIs? Or is the aspect changing so rapidly that the RCS decorrelates from
               one pulse or CPI to the next, and so should be modeled as independent random

               variables from the appropriate PDF? The answer has a significant impact on
               both the procedure and the results for computing detection probabilities, as will
               be seen in Chap. 6.
                     These questions require consideration of the dynamics of the radar-aircraft
               encounter in light of the decorrelation interval in angle given in Eq. (2.63). As
               an example, consider the crossing encounter of Fig. 2.16a. Aircraft #1 views
               aircraft #2 at broadside from a range of 5 km with an X band (10 GHz) radar.

               Assume aircraft #2 is traveling at 100 m/s and has a length (width as viewed
               from the radar) of 10 m. Assume that aircraft #1 transmits a burst of M = 10
               pulses at a 1-kHz PRF. In the resulting 10 ms CPI, aircraft #2 will travel 1 m,
               resulting  in  an  angular  change  with  respect  to  aircraft  #1  of  approximately
               1/5000  =  0.2  mrad.  From Eq.  (2.63),  the  decorrelation  interval  in  angle  is
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               expected to be (3 × 10 )/(2·10·10 × 10 ) = 1.5 mrad. Because the actual angle
               change within a CPI is less than the angular decorrelation interval, one would
               expect all the pulses within a CPI to experience essentially the same RCS. Now
               suppose that the radar transmits a series of pulse bursts, each one starting 100
               ms after the previous burst. The angular change between aircraft #1 and #2 from
               one  CPI  to  the  next  is  then  2  mrad,  which  is  greater  than  the  1.5  mrad
               decorrelation interval. Consequently, it is expected that the aircraft RCS during
               a given CPI will be uncorrelated with that during other CPIs.
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