Biogeography Based Optimization of Distributed CFAR Detector in Pearson-Distributed Reverberation [Pearson混响下BBO算法在分布式CFAR检测器中的应用]

作者：Zhong Y.-C.; Xu D.; Hao C.-P.

来源：Transactions of Beijing Institute of Technology, 2019, 39: 156-161.

• Biogeography based optimization
• Detection
• Distributed CFAR
• Pearson-distributed reverberation

The distributed CFAR detector can improve the detection performance and anti-interference ability. Since there is no closed-form solution of detection probability under Pearson reverberation, it is impossible to obtain the optimal threshold solution of the local detector. In this paper, the Biogeography Based Optimization (BBO) algorithm is used to optimize the local detector threshold within the fusion center. Furthermore, the performance of the distributed CFAR detector under Pearson reverberation is analyzed. Using the "and" fusion and "or" fusion criteria, the objective function and parameter optimization equation are derived. The simulation results show that the performance of optimized distributed CFAR detector is improved compared with the fuzzy CFAR detector. Besides, the detection performance of SO-CFAR detectors based on "AND" fusion is more robust in homogeneous environment than other rules in the condition of low GSNR.

• 单位
  中国科学院大学