A blind adaptive reduced-rank receiver for ultra-wideband communication systems

A low-complexity blind adaptive receiver for ultra-wideband (UWB) systems in the presence of both multiple access interference (MAI) and inter symbol interference (ISI) is proposed, which is composed of two stages. In the first stage, a reduced-rank algorithm based on the multi-stage Wiener filter (MSWF) is considered to suppress the MAI and extract multi-path components. Channel estimation using the projection approximation subspace tracking with deflation (PASTd) algorithm and multi-path combining are then performed to further enhance the signal to interference plus noise ratio (SINR) of the desired user in the second stage. The simulation results show that the proposed receiver exhibits reasonably good bit error ratio (BER) performance compared with those of matched filter, conventional Rake receiver, decorrelating Rake receiver and adaptive receiver based on constant modulus algorithm (CMA). Moreover, it has faster convergence speed and less complexity.     

基于扩展PASTd跟踪算法的谐波检测方法

子空间分解类算法在理论上具有任意的高分辨率,非常适合于电力系统各类谐波的分析,但需要对高维矩阵进行特征值分解,这不仅费时而且不易于工程实现.将投影近似子空间跟踪算法引入电力系统谐波分析领域,详细分析评估PASTd算法的性能.仿真结果表明,紧缩投影近似子空间跟踪算法即PASTd算法不仅保留了子空间分解类算法的超分辨率特性,而且收敛速度较快,稳定性好,可推广用于电力系统谐波检测领域.