PERFORMANCE OF THE ADAPTIVE NORMALIZED MATCHED FILTER DETECTOR IN COMPOUND-GAUSSIAN CLUTTER WITH INVERSE GAMMA TEXTURE MODEL

Arezki Younsi, M. Nadhor
2011 Progress in Electromagnetics Research B  
In the present paper, we deal with the performance analysis of the Adaptive Normalized Matched Filter (ANMF) detector in compound-Gaussian clutter with inverse gamma texture model and unknown covariance matrix. First, the maximum likelihood estimate (MLE) of the covariance matrix for this clutter model is derived. The MLE is then plugged into the ANMF test and compared to the well known normalized sample covariance matrix estimate (NSCM) and the approximate maximum likelihood estimate (AML).
more » ... performance in terms of CFAR behavior and detection probability is evaluated in the presence of simulated clutter and real sea clutter data, which is collected by the McMaster IPIX radar.
doi:10.2528/pierb11051905 fatcat:3rkfohecqnagrogdklazg37sby