Analysis of an adaptive CFAR detector in non-Gaussian interference

Detection of Range Migrating Targets in Compound-Gaussian Clutter

“…[16]. The analysis of real data records in [32] shows its good fitness for the case when the reference cells are taken away from the cell under test (CUT) and in general for statistical analysis of high resolution radar clutter [13]. The results in [18] show that this model fits well in the case of grass vegetation ground clutter, but it is less suitable for the scene with trees and forest.…”

“…where [32]. Note that GLRT in case of texture considered as an unknown parameter (27) reduces to the same test.…”

“…This fact allows us to simplify the PDFs under both hypotheses (11), (12) by means of the following function [16], [32]:…”

“…. K − 1 are independent and identically distributed (IID) random variables; and dependent interference model, where the parameters τ k of clutter are correlated over range [32]. The independent interference model has been used to derive Normalized Matched Filter [8], it was also exploited to infer the methods for CM structure estimation, e.g.…”

“…The Gaussian model of clutter, used in narrowband radars, is found not applicable in the case of high range resolution, see e.g. [11], [13], [18], [32], [37]. The modern trend is to model high resolution radar clutter as a compound-Gaussian process (which belongs to the class of spherically invariant random vectors (SIRV) [11], [27], [28]) i.e.…”