Journal of Systems Engineering and Electronics

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Adaptive detection in the presence of signal mismatch

Weijian Liu1,2, Wenchong Xie2, Rongfeng Li2, Fei Gao2, Xiaoqin Hu2, and Yongliang Wang2,*   

  1. 1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
    2. Air Force Early Warning Academy, Wuhan 430019, China
  • Online:2015-02-13 Published:2010-01-03

Abstract:

The problem of adaptive detection in the situation of signal mismatch is considered; that is, the actual signal steering vector is not aligned with the nominal one. Two novel tunable detectors are proposed. They can control the degree to which the mismatched signals are rejected. Remarkably, it is found that they both cover existing famous detectors as their special cases. More importantly, they possess the constant false alarm rate (CFAR) property and achieve enhanced mismatched signal rejection or improved robustness than their natural competitors. Besides, they can provide slightly better matched signals detection performance than the existing detectors.

Key words: mismatched signal detection, adaptive coherence estimator (ACE), adaptive matched filter (AMF), generalized likelihood ratio test (GLRT), tunable detector