WCDMA系统中长码签名序列盲检测和定时盲估计  

Blind signatures detection and timing estimation in WCDMA long-code system

作　　者：陈亮辉[1] 胡捍英[1] 

机构地区：[1]解放军信息工程大学通信工程系,郑州450002

出　　处：《信号处理》2009年第7期1079-1082,共4页Journal of Signal Processing

基　　金：国防预先研究项目(40901010201)

摘　　要：推导了一种新的解决WCDMA系统长码签名序列盲检测和定时信息联合盲估计的算法。根据已知发送符号,利用长码生成式和WCDMA系统定时关系建立动态方程,给出了以观测量为条件,估计和检测状态量的联合后验概率的表达式,然后选取重要性函数和推导重要性函数的递推公式,使用建议的Rao-Blackwellised粒子滤波算法,结合长码序列的游程特性,实现长码签名序列检测和定时信息估计。Rao-Blackwellised粒子滤波算法复杂度比最大似然算法明显降低,仿真结果表明在有色噪声下获得了与最大似然算法相近的检测性能,定时信息的估计值收敛快,误差小。a novel blind signatures detection and timing estimation method are presented in WCDMA long-code system. Dynamic equations are established employing the long-code generation expressions and timing relation in WCDMA system and joint posterior probability density function of estimation and detection state quantities is obtained in the condition of observations. Then we select important function and infer its recursive formula. Blind signatures detection and timing estimation in WCDMA long-code system are implemented using Rao-Blackwellised particle filter method and run length property of long-code sequence according to the known data. Rao-Blackwellised particle filter method has lower computer complexity than maxima likelihood method. Simulation results show that it has the same detection performance to the maxima likelihood method nearly in the colored noise. The estimation value of timing information converges fast and its error is small.

关 键 词：长码签名序列检测 定时信息估计 Rao-Blackwellised粒子滤波 游程特性 

分 类 号：TN911.72[电子电信—通信与信息系统]