摘要
在分布式多输入多输出雷达目标检测中,为降低融合中心与局部雷达站之间的数据传输率,提出了一种双门限广义似然比恒虚警率检测算法.首先对局部广义似然比检验统计量进行第一门限判断,将过门限的局部检验统计量传送给融合中心.然后在融合中心进行融合检测,与第二门限比较得到判决结果.推导了双门限广义似然比检测器的虚警概率闭式解.仿真结果表明,双门限广义似然比检测算法在降低数据传输率的同时能保证较好的检测性能.
To decrease the data transmission rate between fusion center and local radar stations for target detection in distributed multi-input multi-output (MIMO) radar, a double-threshold generalized likelihood ratio test (DT-GLRT) constant false alarm rate algorithm is proposed. Firstly, local GLRT test statistics are censored through the first threshold and the over-threshold local test statistics are transferred to the fusion center. Secondly, the transferred data are fused to decide the target presence according to the second threshold in the fusion center. The closed-form expression for the probability of false alarm of the DT- GLRT is derived. Simulation results demonstrate that the proposed DT-GLRT algorithm can maintain good detection performance with a low data transmission rate.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2016年第4期29-33,85,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(61372134
61401329)
关键词
分布式多输入多输出雷达
恒虚警率
双门限检测
广义似然比
distributed MIMO radar
constant false alarm rate
double-threshold detection
generalized likelihood ratio test