Recursive MMSE-based iterative channel estimation for OFDM-IDMA systems

O. Oyerinde, S. Mneney
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引用次数: 6

Abstract

Combination of IDMA with Orthogonal Frequency Division Multiplexing (OFDM) transmission technique to form OFDM-IDMA system has been considered as a better option to Multicarrier-CDMA (MC-CDMA) systems. However, as the case with other multiple access schemes-based communication systems, availability of accurate estimate of channel state information (CSI) at the receiver end of the system remains a crucial factor for optimum performance of the OFDM-IDMA systems. In this paper we propose a linear algorithm for the implementation of the iterative channel estimation schemes OFDM-IDMA systems. In the scheme, a recursive minimum mean square error (RMMSE) algorithm is employed for the iterative channel estimation. The achievable results associated with the proposed RMMSE-based iterative channel estimator are documented in comparison with results associated with iterative channel estimator employing Least Mean Square (LMS), Normalized Least Mean Square (NLMS), and Variable Step Size Normalized Least Mean Square (VSSNLMS) algorithms. From the simulation results, it is evident that the proposed RMMSE-based iterative channel estimator outperforms the estimator based on the adaptive algorithms.
基于递归 MMSE 的 OFDM-IDMA 系统迭代信道估计
将 IDMA 与正交频分复用(OFDM)传输技术结合形成 OFDM-IDMA 系统被认为是多载波-CDMA(MC-CDMA)系统的更好选择。然而,与其他基于多址接入方案的通信系统一样,在系统接收端能否准确估计信道状态信息(CSI)仍然是 OFDM-IDMA 系统能否达到最佳性能的关键因素。本文提出了一种线性算法,用于实现迭代信道估计方案 OFDM-IDMA 系统。在该方案中,迭代信道估计采用了递归最小均方误差(RMMSE)算法。通过与采用最小均方(LMS)、归一化最小均方(NLMS)和可变步长归一化最小均方(VSSNLMS)算法的迭代信道估计器的结果进行比较,记录了与所提出的基于 RMMSE 的迭代信道估计器相关的可实现结果。模拟结果表明,基于 RMMSE 的迭代信道估计器优于基于自适应算法的估计器。
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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