周生华,
刘宏伟,
高畅,
邵志强
1.西安电子科技大学雷达信号处理国家重点实验室 ??西安 ??710071
2.西安电子科技大学信息感知技术协同创新中心 ??西安 ??710071
基金项目:国家自然科学基金(61372134, 61401329, 61501351)，国家****科学基金(61525105)
详细信息
作者简介:曹鼎：男，1988年生，博士生，研究方向为协同探测
周生华：男，1982年生，博士，副教授，研究方向为MIMO雷达、协同探测
刘宏伟：男，1971年生，博士，教授，博士生导师，研究方向为雷达信号处理、雷达系统、雷达自动目标识别等
高畅：男，1993年生，博士生，研究方向为协同探测
邵志强：男，1992年生，硕士生，研究方向为协同探测
通讯作者:曹鼎 dingcao@xidian.edu.cn
中图分类号:TN957.51计量
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被引次数:0
出版历程
收稿日期:2018-01-10
修回日期:2018-09-20
网络出版日期:2018-09-27
刊出日期:2018-12-01
A Low-communication-rate Fusion Approach Based on Censored Data
Ding CAO,,Shenghua ZHOU,
Hongwei LIU,
Chang GAO,
Zhiqiang SHAO
1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China
Funds:The National Natural Science Foundation of China (61372134, 61401329, 61501351), The National Science Fund for Distinguished Young Scholars (61525105)
摘要
摘要:在多基地雷达中，该文为解决局部雷达站同融合中心之间通信带宽受限的问题，提出一种基于删失数据的分布式融合(CDDF)检测算法。在局部雷达站具有多通道接收系统的条件下，计算了杂波背景下动目标回波信号的似然比函数。各个局部雷达站根据其自身传输信道的通信限制设置局部门限，剔除低于局部门限的似然比，同时将高于局部门限的似然比向融合中心传输。基于奈曼-皮尔逊引理，融合中心根据接收到的删失数据计算全局检验统计量，并将其与全局门限进行比较获得全局判决。此外，该文推导了全局门限同虚警概率或者检测概率的闭式表达式。数值仿真表明，该算法可以在大幅降低通信率的同时获得比“或”准则更好的检测性能，并且随着通信率的增加逐渐逼近集中式(CF)融合的检测性能。
关键词:多基地雷达系统/
奈曼-皮尔逊引理/
动目标检测/
低通信量/
删失数据
Abstract:In multistatic radar, a Censored Data-Based Decentralized Fusion (CDDF) is proposed to address the issue of fusing local observations with communication constraints. The local likelihood ratio is calculated based on the observation of moving target immersed in clutter, where the local radar site possesses a coherent multi-channel array. Each local radar site transmits if and only if their observations’ likelihood ratios exceed the local thresholds, which determine the communication rates. By virtue of the Neyman-Pearson lemma, the global test statistic can be achieved by combining received censored data. The fusion center makes a global decision through comparing the global test statistic with a global threshold. Besides, the closed-form expression of probability of false alarm or probability of detection is also derived in this paper. Numerical simulation shows that the CDDF has better performance than " OR” rule, while approaching the performance of Centralized Fusion (CF) with the increase of the communication rate.
Key words:Multisite radar system/
Neyman-Pearson lemma/
Moving target detection/
Low communication rate/
Censored data
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