2016
DOI: 10.1109/tsp.2016.2573750
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Optimal Design of Large Dimensional Adaptive Subspace Detectors

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Cited by 7 publications
(1 citation statement)
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“…If the steering vector is unknown or mismatched, then the detection performance of these methods will be degraded [15], [16]. For the case of unknown target steering vector, [17], [18] proposed the generalized likelihood ratio test (GLRT) detection method in Gaussian and compound Gaussian environment, as well as studied the influence of mismatched steering vector on detection performance. In addition, the totally blind matrix CFAR detector based on information geometry obtains good detection performance for the problem of detecting moving target in sea clutter [19]- [22].…”
Section: Introductionmentioning
confidence: 99%
“…If the steering vector is unknown or mismatched, then the detection performance of these methods will be degraded [15], [16]. For the case of unknown target steering vector, [17], [18] proposed the generalized likelihood ratio test (GLRT) detection method in Gaussian and compound Gaussian environment, as well as studied the influence of mismatched steering vector on detection performance. In addition, the totally blind matrix CFAR detector based on information geometry obtains good detection performance for the problem of detecting moving target in sea clutter [19]- [22].…”
Section: Introductionmentioning
confidence: 99%