Adaptive Subspace Detectors

David Ramírez, Ignacio Santamaría and Louis Scharf
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David Ramírez: Universidad Carlos III de Madrid
Ignacio Santamaría: Universidad de Cantabria
Louis Scharf: Colorado State University

Chapter 6 in Coherence, 2022, pp 185-201 from Springer

Abstract: Abstract This chapter opens with the estimate and plug (EP) adaptations of the detectors in Chap. 5 . These solutions adapt matched subspace detectors to unknown noise covariance matrices by constructing covariance estimates from a secondary channel of signal-free measurements. Then the Kelly and Should we say ACE (adaptive coherence estimator) detectors, and their generalizations, are derived as generalized likelihood ratio detectors. These detectors use maximum likelihood estimates of the unknown noise covariance matrix, computed by fusing measurements from a primary channel and a secondary channel.

Keywords: Coherence; Generalized likelihood ratio; Adaptive subspace detector; Secondary channel (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-13331-2_6

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