Adaptive Detection in Structure-Nonhomogeneity Environment: Designs and Comparisons

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS(2022)

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摘要
In this letter, we consider the problem of detecting a signal in a kind of nonhomogeneity environment caused by random unknown interference. We propose an effective detector according to the detector design criterion of the two-step Durbin test or the two-step Wald test. The simulation results show that the proposed detector can provide slightly superior performance than that of existing detectors while maintaining approximately the same computational load, both under hypothetical interference conditions and other interference conditions.
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关键词
Detectors,Interference,Covariance matrices,Training data,Radar,Maximum likelihood estimation,Gaussian distribution,Adaptive detection,Durbin test,multichannel signal,structure nonhomogeneity,Wald test
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