Adaptive detection of range-spread target in compound-Gaussian clutter without secondary data

Mennad, Abdelmalek; Younsi, Arezki; Korso, Mohammed Nabil El; Zoubir, Abdelhak M.

doi:10.1016/j.dsp.2016.09.002

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…In [207], the nonstationary PAMF (NS-PAMF) and nonstationary normalized PAMF (NS-PAMF) were proposed for adaptive signal detection in hyperspectral imaging. Note that there are many other parametric detectors [208][209][210][211][212][213][214][215][216][217][218][219][220][221][222][223].…”

Section: Priori Information-based Methodsmentioning

confidence: 99%

Multichannel adaptive signal detection: basic theory and literature review

Liu

Chen

et al. 2022

Sci. China Inf. Sci.

135

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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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