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

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

摘要

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