Signal fusion-based target detection algorithm for spatial diversity radar

Signal fusion-based radar target detection algorithms are studied in this article for spatial diversity multiple input multiple output (MIMO) radar based on the generalised likelihood ratio test (GLRT) algorithm, under the assumption that covariance matrices of clutter signals received by different...

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Vydané v:	IET radar, sonar & navigation Ročník 5; číslo 3; s. 204 - 214
Hlavní autori:	Zhou, S.H., Liu, H.W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Stevenage Institution of Engineering and Technology 01.03.2011 The Institution of Engineering & Technology
Predmet:	Algorithms Applied sciences Clutter Computer simulation Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information theory Information, signal and communications theory Likelihood ratio Navigation Radar Radiolocalization and radionavigation Signal and communications theory Signal, noise Sonar Target detection Telecommunications Telecommunications and information theory Performance evaluation Single frequency network MIMO system Space diversity Algorithm Clutter Radar remote sensing Radar target Covariance Simulation Likelihood ratio test Information processing Radar Data fusion Target detection
ISSN:	1751-8784, 1751-8792
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