Adaptive matched subspace detectors and adaptive coherence estimators

Author

Scharf, Louis L. ; McWhorter, L. Todd

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

1114

Abstract

We adapt the matched subspace detectors (MSDs) of Scharf (1991) and Scharf and Friedlander (see IEEE Trans. Signal Proc., vol.42, no.8. p.2146-57, 1994) to unknown noise covariance matrices in order to produce adaptive MSDs that may be applied to signal detection in radar, sonar, mobile communication, and DOA estimation. A special case of the adaptive MSD uses the Reed (1974) ratio statistic and a special cease of the adaptive CFAR MSD uses an adaptive coherence estimator (ACE). We compare and contrast the invariances and performance of the two detectors and discuss extensions of them that make them maximum likelihood MSDs.

Keywords

acoustic signal detection; adaptive estimation; adaptive signal detection; array signal processing; covariance matrices; direction-of-arrival estimation; land mobile radio; maximum likelihood detection; noise; radar detection; sonar signal processing; DOA estimation; Reed ratio statistic; adaptive CFAR MSD; adaptive coherence estimators; adaptive matched subspace detectors; invariances; maximum likelihood MSD; mobile communication; noise covariance matrices; performance; radar; signal detection; sonar; Covariance matrix; Detectors; Direction of arrival estimation; Maximum likelihood detection; Mobile communication; Radar detection; Signal detection; Sonar applications; Sonar detection; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.599116

Filename

599116