Page 363 - Fundamentals of Radar Signal Processing
P. 363

(5.63)

               Dividing Eq. (5.62)  by Eq. (5.63)  gives  the  output  SIR;  further  dividing  that
               ratio by the input SIR gives the improvement factor for a two-pulse canceller
               operating against clutter only (no noise)






                                                                                                       (5.64)

               Since ρ   in  the  matrix  formulation  is  the  same  as ρ [1],  this  is  the  same
                         c
                                                                                   c
               expression  obtained  using  autocorrelation  methods  in Eq.  (5.57).  The  same
               result could also have been obtained in the vector analysis by simply using the
                                                                              T
               target model vector averaged over Doppler, t = [1 0] .
                     Additional MTI metrics can be defined. Improvement factor I is an average
               of the improvement in signal-to-clutter ratio over one Doppler period. At some
               Doppler shifts, the target is above the clutter energy, while at others it is below
               the clutter and therefore not detectable. I does not indicate over what percentage

               of the Doppler spectrum a target can be detected. The concept of MTI visibility
               factor  or target  visibility  V  has  been  proposed  to  quantify  this  effect
               (Kretschmer, 1986). V is the percentage of the Doppler spectrum over which the
               improvement factor for a target at a specific frequency is greater than or equal to
               the average improvement factor I. A related metric is the usable Doppler space
               fraction  (UDSF),  which  in  turn  is  determined  by  the minimum  detectable

               velocity  (MDV)  or minimum  detectable  Doppler  (MDD).  These  metrics  are
               common in space-time adaptive processing, so their discussion is deferred to
               Chap. 9.


               5.2.6   Limitations to MTI Performance
               The basic idea of MTI processing is that repeated measurements of stationary
               clutter yield the same echo amplitude and phase; thus successive measurements,
               when subtracted from one another, should cancel. Any effect internal or external

               to the radar that causes the received echo from a stationary target to vary will
               cause imperfect cancellation, limiting the improvement factor.
                     Perhaps the simplest example is transmitter amplitude instability. Consider
               a two-pulse canceller and suppose that the amplitude of each pulse may differ in
               amplitude  from  the  nominal  amplitude  by  up  to  ±5  percent  (equivalent  to  20
               log (1.05/1) = 0.42 dB). The signal resulting from subtracting two echoes from
                   10
               a perfectly stationary target can have an amplitude that is as large as 10 percent
   358   359   360   361   362   363   364   365   366   367   368