超宽带系统Saleh-Valenzuela信道SVD估计性能研究

N. M. Anas, S. Yusof, R. Mohamad
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引用次数: 2

摘要

在Saleh-Valenzuela信道建模中,研究了超宽带系统多频带正交频分复用(OFDM)的奇异值分解(SVD)估计技术的性能。比较了奇异值分解估计方法与超宽带系统补零对应的LS和MMSE方法的性能。超宽带系统的关键限制是严格的低功率传输,这给系统的设计带来了许多挑战。然而,大多数传统的频域信道估计要么需要预存储一个大矩阵,要么需要进行实时矩阵反演,这对于UWB低复杂度实现来说是应该避免的。本文的目的是进一步分析SVD技术相对于最小二乘(LS)和最小均方误差(MMSE)估计方法的复杂性。因此,这项工作表明,与LS方法相比,SVD方法提高了3-5 dB,而与MMSE方法相比,SVD方法的复杂性降低了57.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the performance of SVD estimation in Saleh-Valenzuela channel for UWB system
This paper describes the performance of singular value decomposition (SVD) estimation techniques for multiband orthogonal frequency-division multiplexing (OFDM) of ultra-wideband (UWB) system in Saleh-Valenzuela channel modelling. The performance of SVD estimation is compared against LS and MMSE methods corresponding to zero-padded of a UWB system. The crucial limitation in UWB system is strictly low power transmission leads to many challenges in designing the system. However, most of the conventional channel estimation in frequency domain requires either pre-storing a large matrix or performing real-time matrix inversion, which should be avoided for UWB low complexity implementation. The intuition of this paper is to analyse further the complexity of SVD techniques against least squares (LS) and minimum mean square error (MMSE) estimation method. Consequently, this work implies that the SVD method gives an improvement of 3-5 dB if compared to the LS method while a significant complexity reduction of 57.8% as compared to MMSE methods.
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