PCMA系统中符号和定时联合估计  

Joint Estimation of Symbol and Timing in PCMA System

作　　者：王立[1] 黄焱[1] 

机构地区：[1]解放军信息工程大学,郑州450002

出　　处：《电子信息对抗技术》2011年第4期30-33,68,共5页Electronic Information Warfare Technology

基　　金：国家863项目(2009AA7034530)

摘　　要：针对现有PCMA(paired carrier multiple access)信号处理算法需要先分离后解调,且解调性能受分离误差影响的缺点,提出了一种基于粒子滤波的符号和定时联合估计算法。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,利用粒子滤波方法对符号和定时进行联合估计。仿真实验表明,该算法能够有效地进行定时估计,同时具有良好的误码率性能。The existing processing algorithms for paired carrier multiple access（PCMA） signals need to separate the mixed signals before demodulating whose performance is degraded dramatically by the separation error.To overcome this problem,a new algorithm based on particle filtering was proposed.At first,it modeled the PCMA signal as a dynamic system in state-space form,and then within a Bayesian estimation framework,symbol and timing was jointly estimated via particle filtering.Simulation results show that this algorithm is available for the estimation of timing and has excellent symbol error rate performance.

关 键 词：成对载波多址 粒子滤波 联合估计 

分 类 号：TN911.7[电子电信—通信与信息系统]