Volume 8 Issue 3
Jun.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(3): 326-334
Wang Lu, Zhang Fan, Li Wei, Xie Xiao-ming, Hu Wei. A Method of SAR Target Recognition Based on Gabor Filter and Local Texture Feature Extraction[J]. Journal of Radars, 2015, 4(6): 658-665. doi: 10.12000/JR15076
Citation: XU Shuwen, SHI Xingyu, and SHUI Penglang. An adaptive detector with mismatched signals rejection in compound Gaussian clutter [J]. Journal of Radars, 2019, 8(3): 326–334. doi: 10.12000/JR19030
shu

An Adaptive Detector with Mismatched Signals Rejection in Compound Gaussian Clutter

DOI: 10.12000/JR19030

  • National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710071, China

Funds:  The National Natural Science Foundation of China (61871303), The Foundation of National Key Laboratory of Electromagnetic Environment (6142403180204), The Natural Science Basic Research Plan in Shaanxi Province of China (2017JM6031), Young Talent Fund of University Association for Science and Technology in Shaanxi (20160205), Foreign Scholars in University Research and Teaching Programs (the 111 Project) (B18039)
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  • Corresponding author: XU Shuwen, swxu@mail.xidian.edu.cn
  • Received Date: 2019-02-25
  • Rev Recd Date: 2019-05-05
    • Available Online: 2019-05-20
  • Publish Date: 2019-06-01
    Abstract
  • Because of the improvement in radar resolution and decrease in grazing angle, the amplitude distribution of sea clutter obviously deviates from the Rayleigh distribution and presents a significant non-Gaussian feature. In this case, the compound Gaussian model is widely used. This study investigates the problem of detecting a target when signal mismatches occur in compound Gaussian clutter and proposes a selective detector to reject mismatched signals embedded in compound Gaussian clutter based on the so-called two-step Generalized Likelihood Ratio Test (GLRT). To design the selective detector, we modified the original hypothesis test by injecting a fictitious interference under the null hypothesis. These unwanted signals are assumed to be orthogonal to the nominal steering vector in the whitened subspace. The proposed detector has a Constant False Alarm Rate (CFAR) with respect to the statistics of the texture and covariance matrix. Finally, to demonstrate the effectiveness of the proposed detector, a Monte Carlo simulation is conducted to assess its performance based on the simulated and measured sea clutter data. The experimental results show that the proposed detector effectively improves the selectivity of the mismatched signals together with the detection of matched signals in a range spread target of 1～3 dB.

     

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    • References(20)
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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