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Blind Adaptive Reduced-Rank Detectors for DS-UWB Systems Based on Joint Iterative Optimization and the Constrained Constant Modulus Criterion

机译:基于联合的Ds-UWB系统盲自适应降秩检测器   迭代优化与约束常模准则

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摘要

A novel linear blind adaptive receiver based on joint iterative optimization(JIO) and the constrained constant modulus (CCM) design criterion is proposedfor interference suppression in direct-sequence ultra-wideband (DS-UWB)systems. The proposed blind receiver consists of two parts, a transformationmatrix that performs dimensionality reduction and a reduced-rank filter thatproduces the output. In the proposed receiver, the transformation matrix andthe reduced-rank filter are updated jointly and iteratively to minimize theconstant modulus (CM) cost function subject to a constraint. Adaptiveimplementations for the JIO receiver are developed by using the normalizedstochastic gradient (NSG) and recursive least-squares (RLS) algorithms. Inorder to obtain a low-complexity scheme, the columns of the transformationmatrix with the RLS algorithm are updated individually. Blind channelestimation algorithms for both versions (NSG and RLS) are implemented. Assumingthe perfect timing, the JIO receiver only requires the spreading code of thedesired user and the received data. Simulation results show that both versionsof the proposed JIO receivers have excellent performance in suppressing theinter-symbol interference (ISI) and multiple access interference (MAI) with alow complexity.
机译:提出了一种基于联合迭代优化(JIO)和约束恒模(CCM)设计准则的线性盲自适应接收机,用于直接序列超宽带(DS-UWB)系统的干扰抑制。所提出的盲接收机包括两部分,一个是执行降维的变换矩阵,另一个是产生输出的降秩滤波器。在所提出的接收机中,变换矩阵和降阶滤波器被联合和迭代地更新,以使受约束的恒定模量(CM)成本函数最小。通过使用归一化随机梯度(NSG)和递归最小二乘(RLS)算法,为JIO接收器开发了自适应实现。为了获得低复杂度的方案,使用RLS算法的转换矩阵的列分别进行更新。两种版本(NSG和RLS)的盲信道估计算法均已实现。假设是完美的时序,JIO接收器仅需要所需用户的扩展码和接收到的数据。仿真结果表明,两种版本的JIO接收机在抑制码间干扰(ISI)和多址干扰(MAI)方面均具有出色的性能,且复杂度较低。

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  • 年度 2013
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  • 正文语种 {"code":"en","name":"English","id":9}
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