Adaptive linear interference suppression based on block conjugate gradient method in frequency domain for DS-UWB systems

Sheng Li, R. D. de Lamare
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引用次数: 8

Abstract

In this work, we propose an adaptive linear interference suppression scheme based on single-carrier frequency domain equalization (SC-FDE) for multiuser direct-sequence ultra-wideband (DS-UWB) systems. In a block-by-block based transmission, by inserting the cyclic prefix (CP) between each data block, the inter-block interference (IBI) can be ignored and the Toeplitz channel matrix can be expressed as an equivalent circulant channel matrix. With this feature, we propose a simple signal model, in which only a vector formed adaptive filter needs to be trained in the frequency domain. Based on the new signal model, an adaptive block conjugate gradient (BCG) algorithm is developed. Complexity analysis shows that the proposed BCG algorithm is significantly simpler than the recursive least squares (RLS) algorithm. The bit-error rate (BER) performance of the proposed scheme is compared with the least-mean-square (LMS) and RLS algorithm in a number of scenarios and the simulation results show fast convergence speed and excellent performance of the proposed BCG algorithm.
基于块共轭梯度法的DS-UWB系统频域自适应线性干扰抑制
在这项工作中,我们提出了一种基于单载波频域均衡(SC-FDE)的多用户直接序列超宽带(DS-UWB)系统自适应线性干扰抑制方案。在逐块传输中,通过在每个数据块之间插入循环前缀(CP),可以忽略块间干扰(IBI),并将Toeplitz信道矩阵表示为等效循环信道矩阵。利用这一特征,我们提出了一个简单的信号模型,其中只需要在频域训练一个向量形成的自适应滤波器。基于新的信号模型,提出了一种自适应块共轭梯度(BCG)算法。复杂度分析表明,该算法比递推最小二乘(RLS)算法简单得多。在多种场景下,将所提方案的误码率(BER)性能与最小均方(LMS)和RLS算法进行了比较,仿真结果表明,所提方案收敛速度快,性能优良。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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