CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments

doi:10.3969/j.issn.1000-5641.2018.01.013

Abstract

Abstract: In order to solve the problem that the detection performance of the radar target detector decreases badly in non-homogeneous environments. Based on the actual echo clutter distribution, a dual-censoring threshold constant false alarm rate (DCT-CFAR) detector is proposed. Dual censoring threshold is used to remove the large and small unwanted samples and real-time accurate estimate the background noise power level. Compared with the simulation and analysis results of other detectors, the proposed detector has the best detection performance and stability in multi-interfering targets, masking effect, clutter edge and other non-homogenous environments. The results show that the proposed detector still has a good detection performance in non-homogeneous environments.

Key words: target detection, constant false alarm rate (CFAR), dual threshold detection, non-homogenous noise

CLC Number:

TN957.51

LIU Gui-ru, WANG Lu-lin, ZOU Shan. CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments[J]. Journal of East China Normal University(Natural Sc, 2018, 2018(1): 135-145.

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