Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter

JIAN Tao; LIAO Gui-sheng; HE You; DING Biao

doi:10.3969/j.issn.0372-2112.2017.06.009

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Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter

更新时间：2025-07-16

- Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter
- Acta Electronica Sinica Vol. 45, Issue 6, Pages: 1342-1348(2017)
- 作者机构：
  
  1. 海军航空工程学院信息融合研究所,山东,烟台,264001
  2. 西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071
  3. 海军航空工程学院信息融合研究所,山东,烟台,264001
  4. 西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61102166, No.61471379);China Postdoctoral Science Foundation (No.2013M540733, No.2014T70904);Doctoral Foundation of Shandong Province (No.BS2013DX003)
- DOI：10.3969/j.issn.0372-2112.2017.06.009
  CLC： TN957.51
- Published Online：25 June 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
JIAN Tao, LIAO Gui-sheng, HE You, et al. Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter[J]. Acta Electronica Sinica, 2017, 45(6): 1342-1348.
DOI：

JIAN Tao, LIAO Gui-sheng, HE You, et al. Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter[J]. Acta Electronica Sinica, 2017, 45(6): 1342-1348. DOI： 10.3969/j.issn.0372-2112.2017.06.009.

摘要

在辅助数据缺失的非高斯杂波背景下，采用两步法设计策略研究了距离扩展目标检测方法.首先，在杂波纹理分量已知的条件下，对待检测数据进行高斯化，利用高斯背景下杂波协方差矩阵和目标散射点幅度的合适估计，建立检验统计量.其次，利用待检测数据在信号子空间正交补上的正交投影，估计杂波纹理分量，提出了基于子空间的距离扩展目标自适应检测器，并证明了其对杂波纹理分量的恒虚警率（CFAR，Constant False Alarm Rate）特性.仿真结果表明，在典型非高斯背景下，所提检测器的CFAR特性和检测性能均优于对比检测器；另外，阵元数、目标距离单元数或杂波尖峰的增加，能不同程度改善检测性能.

Abstract

In non-Gaussian clutter environment

the range-spread target detection without secondary data is addressed

by utilizing two-step design procedure.Firstly

with known clutter texture component

the data under test is transformed into the Gaussian ones.And then the test statistic is derived by using the appropriate estimates of unknown clutter covariance matrix and target scatterer amplitudes.Secondly

by orthogonally projecting the data under test onto the orthogonal complement of signal subspace

the unknown clutter texture components are estimated.Consequently

the range-spread target detector based on subspace is proposed

and its constant false alarm rate (CFAR) property is also analyzed.It is showed that

under the classical non-Gaussian background

the proposed detector outperforms the compared ones

in terms of CFAR property and detection performance.In addition

its detection performance enhances to different extents

as the number of sensors

the number of target range cells or the clutter spikiness increases.

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