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基于UKF的扩频信号参数联合估计算法 被引量:1

Joint estimation of the spread-spectrum signal parameters based on UKF algorithm
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摘要 针对伪随机码的同步问题,提出利用UKF算法进行伪随机(PN)码跟踪与信号幅度估计的联合处理。该算法通过对状态向量进行U变换,得到多个西格马点,然后利用UKF算法对非线性的扩频信号进行滤波估计。通过仿真实验,证明UKF算法在处理该类扩频信号的伪随机码的同步问题上具有更好的性能。 In the spread-spectrum communication, the receivers must keep the synchronization of the PN codes. To study this problem, UKF algorithm is given to track the PN codes with joint estimation of the amplitude of the signal. Several sigma points are gotten by the U transformation of the state vector. Then the UKF algorithm is used to estimate the nonlinear spread-spectrum signal. The simulation results demonstrate that the UKF algorithm has better performance than the EKF algorithm to treat the synchronization of the PN codes.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2005年第9期1503-1504,1567,共3页 Systems Engineering and Electronics
关键词 扩频通信 非线性估计 UKF 扩展卡尔曼滤波 spread-spectrum nonlinear estimation UKF extended kalrnan filter
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参考文献6

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