A CFAR design concept for operation in heterogeneous clutter
Abstract
When the heterogeneous clutter field spanning the spatial sampling sliding window can be modeled as two contiguous homogeneous clutter fields with the statistical parameters of each field unknown and independent from field to field and with the transition point between fields also not known, then the cell averaging CFAR (constant false alarm rate) performance significantly degrades yielding target masking effects and loss of false alarm regulation. For the same defined and encountered environment spanning the sliding windows, the performance degradation effects are shown to be largely eliminated when a newly developed class of CFAR test is employed designated as heterogeneous clutter estimating CFAR's (HCECFAR). The test initially involves the combined use of multiple hypothesis testing and maximum likelihood estimation procedures to estimate the statistical parameters of each of the two fields, and the transition point between them, and then makes use of the relevant estimated clutter field parameters to effect the final decision rule. HCECFAR designs are presented for both the cases when the contiguous fields have Rayleigh first order probability distritubions, and log normal probability distribution. However, the focus of the development and the conducted performance evaluation is for the Rayleigh clutter cases.
 Publication:

In AGARD Multifunction Radar for Airborne Applications 12 p (SEE N8718721 1132
 Pub Date:
 July 1986
 Bibcode:
 1986mraa.agarQ....F
 Keywords:

 Clutter;
 False Alarms;
 Heterogeneity;
 Radar Detection;
 Search Radar;
 Signal Processing;
 Algorithms;
 Estimating;
 Maximum Likelihood Estimates;
 Probability Distribution Functions;
 Rayleigh Distribution;
 Statistical Analysis;
 Communications and Radar