一种基于排序数据方差的恒虚警检测器

钟晓锋

doi:10.11993/j.issn.1673-1948.2009.06.007

一种基于排序数据方差的恒虚警检测器

doi: 10.11993/j.issn.1673-1948.2009.06.007

钟晓锋

驻西安东风仪表厂军代室,陕西西安,710065

详细信息

作者简介:
钟晓锋（1974-) ，男，工程师，研究方向为水中武器系统分析与设计、水声信号处理.

中图分类号: TJ630;TN957.51
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- 文章访问数: 1510
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- 被引次数: 0
出版历程
- 收稿日期: 2009-02-05
- 修回日期: 2009-06-18
- 刊出日期: 2009-12-30

A Novel Constant False Alarm Rate Detector Based on Ordered Data Variability

ZHONG Xiao-feng

Military Representative Office, Stationed in Xi′an DongFeng Instrument Factory, Xi′an 710065,China

摘要

摘要: 为了充分利用参考单元信息，减少恒虚警（CFAR）损失，基于有序统计（OS）方法和排序数据方差(ODV)方法提出一种新的恒虚警检测器(MOSODV)，它的前沿和后沿滑窗分别采用OS和ODV产生2个局部估计，然后取二者之和作为背景功率水平估计。在Swerling II型目标假设下，推导出MOSODV在均匀背景下虚警概率的解析表达式，并与其他CFAR方法进行了比较。仿真结果表明，MOSODV在均匀背景及多目标环境中均具有较好的性能，而杂波边缘环境中，MOSODV也保持了比较好的虚警控制能力。
- 恒虚警检测器 /
- 雷达 /
- 有序统计 /
- 排序数据方差 /
- 多目标环境
Abstract: In order to make full use of reference cell information and decrease constant false alarm rate(CFAR) loss, a new CFAR detector (named MOSODV-CFAR) based on ordered statistics(OS) and ordered data variability (ODV) is proposed. Its leading window and lagging window use OS method and ODV method to create two local noise estimations respectively, then the sum of the two estimations is taken as a global noise power estimation.Assuming type of target is Swerling II and noise has Gaussian distribution,an analytic expression of false alarm rate for MOSODV under homogeneous background is derived. In Comparison with mean ordered statistics MOSCM and MOSAC methods, simulation results show that the MOSODV is endowed with better detection performance under homogeneous environment and multi-target interference,and it exhibits better performance of false alarm control against clutter edge situations.
- constant false alarm rate(CFAR) detector /
- radar /
- ordered statistics(OS) /
- ordered data variability (ODV) /
- multi-target environment

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参考文献(6)

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