Root-MUSIC based joint identification and timing estimation of asynchronous CDMA system over Rayleigh fading channel

Wei-Chiang Wu, Kwang-Cheng Chen
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引用次数: 1

Abstract

An efficient algorithm is proposed to identify the active users and extract their respective timing information in an asynchronous direct-sequence CDMA (DS-CDMA) communication system over a Rayleigh fading channel. The joint identification and timing estimation algorithm is derived by performing a discrete Fourier transform (DFT) on the observation vector and exploiting the uniqueness and nullity characteristics of the root-MUSIC test polynomial. The root-MUSIC based algorithm is shown to be asymptotically near-far resistant. Moreover, compared to the maximum a posteriori probability (MAP) or maximum likelihood (ML) based multiuser timing estimator, the complexity is greatly reduced by separating the multi-dimensional optimization problem into several polynomial rooting problems. The analytical results reveal that under the uncorrelated Rayleigh fading model, the root-MUSIC timing estimator tends to achieve the Cramer-Rao lower bound (CRLB) at interesting signature sequence length and user's signal-to-noise ratio (SNR).
基于根- music的瑞利衰落信道异步CDMA系统联合辨识与定时估计
提出了一种基于瑞利衰落信道的异步直接序列CDMA (DS-CDMA)通信系统中有效用户识别和各自时序信息提取算法。通过对观测向量进行离散傅里叶变换(DFT),利用根music检验多项式的唯一性和零性,推导出联合辨识和定时估计算法。基于根music的算法具有渐近近抗远性。此外,与基于最大后验概率(MAP)或基于最大似然(ML)的多用户时序估计器相比,通过将多维优化问题分解为多个多项式生根问题,大大降低了复杂度。分析结果表明,在非相关Rayleigh衰落模型下,根- music时序估计器倾向于在感兴趣的签名序列长度和用户信噪比下实现Cramer-Rao下界(CRLB)。
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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