摘要
相比于传统分布式组阵接收采用的参数差异估计、信号校准合成以及符号检测的逐级处理结构,直接利用多个观测信号进行符号检测能够抑制信号间校准精度不佳带来的性能损失问题,但现有方法主要针对收发均静止或收发理想同步的情形。研究了一种最大似然准则下的分布式接收运动目标直接符号检测方法,首先给出了直接符号检测求解模型,针对模型中多组未知参数的优化问题,推导分析了各参数近似闭式解,采用基于迭代重估的闭环处理结构,利用多个未知参数和信息符号进行联合寻优。仿真实验结果表明,所提方法性能明显优于传统合成处理方法,与现有联合处理结构相比,在观测站数目较多时具有明显优势。
Compared with the hierarchical processing structure of parameter difference estimation,signal calibration synthesis and symbol detection in traditional distributed array reception,direct symbol detection using multiple observation signals can suppress the performance loss caused by poor calibration accuracy between signals,but the existing methods are mainly aimed at the situation where both the transmitter and the receiver are stationary or ideal synchronization.A direct symbol detection method for distributed receiving moving targets under the maximum likelihood criterion is studied.Firstly,a direct symbol detection solution model is given.Aiming at the optimization problem of multiple groups of unknown parameters in the model,the approximate closed form solutions of each parameter are derived and analyzed.A closed-loop processing structure based on iterative re-evaluation is adopted,and multiple unknown parameters and information symbols are used for joint optimization.Simulation results show that the performance of the proposed method is obviously superior than that of the traditional synthetic processing methods.Compared with the existing joint processing structure,the proposed method has greater advantages when the number of observation stations is large.
作者
张凯
田瑶
ZHANG Kai;TIAN Yao(Unit 63891 of the PLA,Luoyang 471003,China;Unit 96862 of the PLA,Luoyang 471000,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2024年第4期1422-1430,共9页
Systems Engineering and Electronics
基金
国家自然科学基金(62001476)资助课题。
关键词
分布式接收
运动目标
符号检测
最大似然
期望最大化
distributed receiving
moving target
symbol detection
maximum likelihood
expectation-maximization
