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对PCMA系统中干扰信号的时延估计问题进行了研究,提出一种基于粒子滤波的干扰信号时延估计新算法。算法首先通过对接收PCMA信号进行动态状态空间建模,然后在贝叶斯估计框架下,利用粒子滤波方法估计干扰信号时延。另外,为说明该算法的有效性,利用Fisher信息阵推导了干扰信号时延估计的克拉美罗限。仿真结果表明该算法能够有效进行的时延估计。
The problem of time delay estimation of interference signal in PCMA system is studied, and a new algorithm of time delay estimation of interference signal based on particle filter is proposed. Firstly, the algorithm constructs dynamic state space by receiving PCMA signal, and then estimates the interference signal delay by using particle filter in the framework of Bayesian estimation. In addition, in order to demonstrate the effectiveness of the algorithm, Fisher’s information matrix is used to derive the Cramer limit of the interference signal delay estimation. Simulation results show that the algorithm can effectively estimate the delay.