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Multichannel adaptive signal detection: basic theory and literature review

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Abstract

Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists. The resulting adaptive detectors typically possess constant false alarm rate (CFAR) properties; thus, no additional CFAR processing is required. In addition, a filtering process is also not required because the filtering function is embedded in the adaptive detector. Adaptive detection typically exhibits better detection performance than the filtering-then-CFAR detection technique. It has been approximately 35 years since the first multichannel adaptive detector was proposed by Kelly in 1986. However, there are few overview articles on this topic. Thus, in this study, we present a tutorial overview of multichannel adaptive signal detection with an emphasis on the Gaussian background. We discuss the main design criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection techniques, investigate the relationship between adaptive detectors and adaptive filters, summarize typical adaptive detectors, present numerical examples, provide a comprehensive literature review, and discuss potential future research tracks.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 62071482, 61871469), National Natural Science Foundation of China and Civil Aviation Administration of China (Grant No. U1733116), Youth Innovation Promotion Association CAS (Grant No. CX2100060053), National Key Research and Development Program of China (Grant No. 2018YFB1801105), and China Postdoctoral Science Foundation (Grant No. 2020T130493).

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  1. Wuhan Electronic Information Institute, Wuhan, 430019, China

    Weijian Liu & Yong-Liang Wang

  2. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China

    Jun Liu

  3. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China

    Chengpeng Hao

  4. School of Electronic Engineering, Xidian University, Xi’an, 710071, China

    Yongchan Gao

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Liu, W., Liu, J., Hao, C. et al. Multichannel adaptive signal detection: basic theory and literature review. Sci. China Inf. Sci. 65, 121301 (2022). https://doi.org/10.1007/s11432-020-3211-8

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