Optimized Parameters and Robustness Evaluation for Range-Spread Target Detector

JIAN Tao; HE You; SU Feng; QU Chang-wen; PING Dian-fa

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Optimized Parameters and Robustness Evaluation for Range-Spread Target Detector

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- Optimized Parameters and Robustness Evaluation for Range-Spread Target Detector
- Acta Electronica Sinica Vol. 39, Issue 9, Pages: 2190-2193(2011)
- 作者机构：
  
  海军航空工程学院信息融合技术研究所,山东,烟台,264001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.51
- Published：2011
- 稿件说明：
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JIAN Tao, HE You, SU Feng, et al. Optimized Parameters and Robustness Evaluation for Range-Spread Target Detector[J]. Acta Electronica Sinica, 2011, 39(9): 2190-2193.
DOI：

JIAN Tao, HE You, SU Feng, et al. Optimized Parameters and Robustness Evaluation for Range-Spread Target Detector[J]. Acta Electronica Sinica, 2011, 39(9): 2190-2193. DOI：

摘要

研究了球不变随机向量杂波下的距离扩展目标自适应检测问题

推导了级联二进制积累检测器(CBI)的最优参数;利用辅助数据

基于迭代估计方法获得协方差矩阵结构的近似最大似然估计

设计了具有近似恒虚警率特性的自适应检测器.仿真实验表明

最优CBI在估计目标散射点个数失配情况下具有很好的鲁棒性;随着散射点个数的增加

其在失配情况下的鲁棒性越来越好

且均优于匹配情况下基于目标散射点密度的检测器和不依赖于散射点密度的检测器.

Abstract

Under the spherically invariant random vector clutter

the adaptive detection of range-spread target is addressed.The parameters of cascaded binary integrator (CBI) are optimized.Moreover

based on secondary data

an adaptive CBI is derived

which is approximately of constant false alarm rate.The experimental results show that

the optimized CBI performs robustly for the mismatch between the estimated number of target scatterers and the actual one.In addition

the robustness is enhanced as the number of target scatterers increases.The optimized CBI in mismatch cases outperforms the scatterer-density-dependent detector in match cases and the non-scatterer-density-dependent detector.

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