Journal of East China Normal University(Natural Sc ›› 2018, Vol. 2018 ›› Issue (1): 135-145.doi: 10.3969/j.issn.1000-5641.2018.01.013

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

LIU Gui-ru1, WANG Lu-lin2, ZOU Shan1   

  1. 1. College of Computer and Information Science, Anhui Polytechnic University, Wuhu Anhui 241000, China;
    2. Prospective Technology Research Institute, Chery Automobile Co., Ltd, Wuhu Anhui 241006, China
  • Received:2016-09-14 Online:2018-01-25 Published:2018-01-11

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

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