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pulses.  The  time  between  pulses  is  denoted  as  the pulse  repetition  interval

               (PRI)  or inter-pulse period  (IPP)  and  denoted  as T.  Its  inverse  is  the pulse
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               repetition frequency (PRF).  The PRF may range from a few hundred pulses
               per second (also called, casually, hertz) to tens and sometimes a few hundreds
               of kilohertz.
                     The vectors of L fast-time samples collected for each of the M pulses are

               typically organized into a two-dimensional matrix y[l, m] as shown in Fig. 3.2b.
               The pulse number dimension is called the slow time axis. The time required to
               collect this data is simply MT seconds. If a coherent series of pulses was used
               that time is called the coherent processing interval (CPI). The term CPI is used
               to refer both to the matrix of data and the time required to collect it. While there
               are exceptions, a CPI of data is usually collected using a constant PRI, constant
               radar frequency (RF), and the same pulse waveform for all pulses in the CPI.

                     Although the data for a single CPI is collected by columns (pulses), once it
               is stored in memory it may be accessed in any fashion. In Fig. 3.2b the fourth
               range bin for each pulse is shaded gray. This row of samples in the data matrix
               is  the slow-time signal  for  that  range  bin.  These  samples  represent  the  echo
               received  after  the  same  delay  from  the  time  of  transmission  for  successive
               pulses. Assuming the antenna boresight is not moving significantly from pulse to

               pulse, these samples represent the reflectivity from the same range and angle,
               i.e.,  the  same  region  in  three-dimensional  space,  measured  with  a  sampling
               interval  equal  to  the  pulse  repetition  interval  PRI.  The  slow-time  sampling
               frequency is therefore the PRF.
                     How should the PRF be chosen? The PRF affects, and is affected by, many
               aspects of the radar and environment. As was seen in the discussion of spatial
               Doppler  in Chap.  2,  the  slow-time  phase  history  reflects  the  Doppler

               components  in  the  received  signal.  One  criterion  for  choosing  the  PRF  is  to
               avoid aliasing of the spectrum replicas so as to preserve the information in the
               Doppler  spectrum  for  subsequent  processing  such  as  pulse  Doppler  target
               detection or synthetic aperture imaging. Thus, the Nyquist requirement in slow
               time is that the PRF be at least as large as the slow-time signal bandwidth.
                     A nonzero Doppler bandwidth results from two sources: intrinsic motion

               of the scatterers in the area being measured, and motion of the radar platform. If
               the area being measured is a target in the conventional sense of a man-made
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               vehicle or object, its intrinsic motion is simply the motion of the vehicle.  If it is
               clutter, then intrinsic motion can be due to wind blowing the leaves of trees or
               blades of grass, waves on the ocean, falling and swirling rain, air-conditioning
               fans  on  tops  of  buildings,  and  so  forth.  For  instance,  the  Doppler  power

               spectrum corner frequencies in Table 2.7 imply an intrinsic Doppler spread on
               the order of 0.5 to 1.0 m/s for rain at X band. The intrinsic Doppler spread of
               moving man-made objects can be much larger. Consider an urban clutter scene
               where a stationary radar observes automobile traffic with a maximum speed of
               55 mph both toward and away from the radar. The radar therefore sees targets
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