一种基于最大似然估计的合作目标多维参数跟踪算法

发布时间：2018-04-09 12:19

本文选题：雷达　切入点：直接序列扩频信号　出处：《电子与信息学报》2015年06期

【摘要】：空间交会对接微波雷达采用基于延迟锁定环(DDLL)、锁频环(FLL)和锁相环(PLL)的算法处理合作目标转发的直接序列扩频信号,获得入射信号的时延、频率及波达角(DOA)估计。针对当前基于DDLL,FLL和PLL(DFP)的算法没有充分利用接收信号有效信息的问题,该文提出一种基于极大似然估计(MLE)的低代价闭环跟踪(MLBT)算法。该算法利用代价函数的梯度正比于参数误差的特性,设计了参数误差鉴别器。在此基础上给出了相应的扩频信号多参数跟踪环路。分析并验证了鉴别器的方差特性,从而给出MLBT算法的参数估计均方根误差(RMSEs)下限。仿真实验验证了对MLBT算法参数估计均方根误差下限分析的正确性。此外仿真结果表明,MLBT算法相比DFP算法有限地增加运算量,同时获得了更优的参数估计性能。
[Abstract]:The space rendezvous and docking microwave radar uses the algorithm based on the delay locking loop DDLLLLL (frequency locked loop) and the phase-locked loop (PLL) to process the direct sequence spread spectrum signal forwarded by the cooperative target. The time delay, frequency and angle of arrival (DOA) estimation of the incident signal are obtained.In order to solve the problem that the current algorithms based on DDLL FLL and PLLN DFP do not make full use of the received signal effective information, this paper proposes a low cost closed-loop tracking algorithm based on maximum likelihood estimation (MLEE).Based on the characteristic that the gradient of the cost function is proportional to the parameter error, a parameter error discriminator is designed.Based on this, the multiparameter tracking loop of spread spectrum signal is given.The variance characteristics of the discriminator are analyzed and verified, and the lower bound of the parameter estimation RMS root error (RMS es) of the MLBT algorithm is given.Simulation results show that the lower bound analysis of root mean square error (RMS) for parameter estimation of MLBT algorithm is correct.In addition, the simulation results show that compared with DFP algorithm, the MLBT algorithm increases the computational complexity and obtains better performance of parameter estimation.
【作者单位】：北京理工大学信息与电子学院;
【基金】：上海航天科技基金(SAST201215) 新世纪优秀人才支持计划(NCET-13-0034)资助课题
【分类号】：TN953

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