The optimum rank detector structure, in the Neyman-Pearson sense and under Gaussian noise conditions, is approximated by a suboptimum structure that depends on an adjustable parameter. This new rank detector, which operates on radar video signal, includes other well-known detectors as particular cases. The asymptotic relative efficiency (ARE) of the proposed rank detector is computed, with its maximum value the ARE of the locally optimum rank detector (LORD). The detection probability versus signal-to-noise ratio, and the effects of interfering targets are also calculated by Monte-Carlo simulations for different parameter values.
A Suboptimum Rank Test for Nonparametric Radar Detection
IEEE Transactions on Aerospace and Electronic Systems ; AES-22 , 6 ; 670-680
1986-11-01
2809206 byte
Article (Journal)
Electronic Resource
English