NDLI: Comparison of Two Likelihood-Based Target Detection Methods in the Presence of Interference

Content Provider	IEEE Xplore Digital Library
Author	Dehghan, N. Derakhtian, M. Karimi, M.
Copyright Year	2012
Abstract	In this study, the problem of target detection in the presence of interference using a uniform linear array is considered. The proposed iterative detector is derived based on the generalized likelihood ratio tests (GLRT) principle, assuming that the direction, the complex amplitude and the power of the interfering sources and the received noise variance are all unknown. In the proposed GLR-based detector, first the direction of interference sources are estimated and then by substituting the maximum likelihood (ML) estimates of the other unknown parameters the likelihood ratio is constructed. Another approach for the detection problem is to apply an adaptive beamformer in order to maximally reject the interferences and then a GLR test for the beamformer output has been proposed that is called adaptive beamformer detector. The Comparison between the proposed GLR-based detector and adaptive beamformer detector is done by using computer simulations. The results show that the proposed GLR-based detector performs better than the adaptive beamformer detector, but the GLR-based detector has more computational complexity.
Starting Page	267
Ending Page	272
File Size	476338
Page Count	6
File Format	PDF
ISBN	9781467326407
DOI	10.1109/CICSyN.2012.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	generalized likelihood ratio test (GLRT) Maximum likelihood estimation detection adaptive beamforming Detectors Interference Object detection Covariance matrix Arrays Signal to noise ratio array signal processing
Content Type	Text
Resource Type	Article

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