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多雷达观测信号融合检测算法
引用本文:王小轲,陈华杰. 多雷达观测信号融合检测算法[J]. 火力与指挥控制, 2017, 42(8). DOI: 10.3969/j.issn.1002-0640.2017.08.006
作者姓名:王小轲  陈华杰
作者单位:杭州电子科技大学通信信息传输与融合技术国防重点学科实验室,杭州,310018
基金项目:国家自然科学基金,国家"973"基金资助项目
摘    要:针对海上小目标检测问题提出了一种基于多雷达观测信号层融合的检测算法。该算法对各个雷达的观测值按采样时刻进行排序,然后根据对应时刻的脉冲信号进行高阶互累积量计算然后在相关域上积累进行似然比检测。仿真分析表明该算法与基于贝叶斯准则的分布式检测算法相比,具有较低的复杂度和低信噪比条件下较高的目标检测概率。

关 键 词:信号层融合  脉冲信号  互累积量  相关域

A Detection Algorithm for Multi-Radar Observation Signal Fusion
WANG Xiao-ke,CHEN Hua-jie. A Detection Algorithm for Multi-Radar Observation Signal Fusion[J]. Fire Control & Command Control, 2017, 42(8). DOI: 10.3969/j.issn.1002-0640.2017.08.006
Authors:WANG Xiao-ke  CHEN Hua-jie
Abstract:The paper proposes a new detection algorithm based on multi-radar observation signal level fusion about the sea of small target detection. The algorithm makes the radar observations in order as each sampling time,according to the corresponding time of the pulse signal on the next. The algorithm is conducted to calculate the cumulative cross-accumulate which detected in the relevant field. Simulation results show that the algorithm has lower complexity and higher probability of target detection when compared with the distributed detection algorithm based on Bayesian.
Keywords:signal level fusion  pulse signal  cross cumulative  related fields
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