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Adaptive detectors with enhanced selectivity capabilities in partially homogeneous environments

Zeyu Wang, Ming Li, Hongmeng Chen and 1 more

The Journal of Engineering · 2019

doi:10.1049/joe.2019.0641 (opens in a new tab)

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Abstract

This study deals with the problem of adaptive detection in the presence of mismatch signals in partially homogeneous environment. To enhance the selectivity of the detector, the authors add a fictitious signal under the null hypothesis. The fictitious signal is orthogonal to the nominal signal steering vector in the quasi-whitened observation space. Two generalised likelihood ratio test-based mismatch selective detectors are derived. Simulation results show that the one-step mismatch selective detector coincides with the adaptive coherence estimator and the two-step mismatch selective detector has a better mismatch rejection capability than the generalised adaptive matched filter.

Abstract licence: CC BY-ND

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