一种新的盲联合角度-时延估计方法  

A novel blind joint angle and delay estimation method

作　　者：张小飞[1] 徐大专[1] 

机构地区：[1]南京航空航天大学电子工程系

出　　处：《哈尔滨工业大学学报》2006年第11期1893-1897,共5页Journal of Harbin Institute of Technology

基　　金：江苏省自然科学基金资助项目(BK2003089);航空科学基金资助项目(03F52042);移动通信国家重点实验室开放基金资助项目(N200502)

摘　　要：提出一种新的盲联合角度-时延的估计方法,对阵列天线输出的过采样样本的Fourier变换后信号进行分析,结果表明,此信号具有三线性模型特征.为此,提出一种改进的三线性交替最小二乘(ITALS)算法,对波达方向(DOA)和时延联合估计.该算法利用方向矩阵和时延矩阵的Vanderm onde特征、基于最小二乘原理对方向矩阵和时延矩阵进行重构,以及对DOA和时延估计.仿真结果表明,ITALS方法具有较好DOA和时延联合估计性能,且在过载系统下仍有较好的性能.ITALS方法随着天线数增加联合估计性能变好;而且该方法无须信道衰落系数,是一种盲、鲁棒的联合处理方法.A novel blind joint angle and delay estimation method based on trilinear model is presented. Oversampled signal of array antennas is processed by fast Fourier transform, and results show that the Fourier transformed signal has trilinear model characteristics. The improved trilinear alternating least square algorithm （ITALS） is proposed to jointly estimate DOA and delay. In the algorithm, direction and delay matrices are reconstructed, and DOAs and delay are estimated according to Vandermonde characteristics of direction and delay matrices and least square principle. The simulation results reveal that ITALS algorithm has the better estimation performance for delay and DOA, and it works well in the overload system. The simulation results also reveal that this method performance gets better with array number increasing. Finally, this algorithm has blind and robust characteristic, which does not need the channel fading information.

关 键 词：联合处理 DOA估计 时延估计 阵列信号处理 三线性模型 平行因子 

分 类 号：TN911.7[电子电信—通信与信息系统]