Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Recently a generalized eigen-relation (GER) constraint was employed to model inhomogeneities in an adaptive processing context. This constraint facilitated closed-form analysis of classical adaptive detectors under a nonhomogeneous data assumption. In this paper we reexamine the implications of this GER constraint on the statistics of adaptive nulling. We find that although the GER was originally imposed for analytic tractability it in fact preserves the essential statistical nature of an adaptive null, allowing one to model inhomogeneities in adaptive processing.

Original languageEnglish (US)
Pages65-68
Number of pages4
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 9th IEEE SP Workshop on Statistical Signal and Array Processing - Portland, OR, USA
Duration: Sep 14 1998Sep 16 1998

Other

OtherProceedings of the 1998 9th IEEE SP Workshop on Statistical Signal and Array Processing
CityPortland, OR, USA
Period9/14/989/16/98

ASJC Scopus subject areas

  • Engineering(all)

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