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基于前导训练序列的MB-OFDM信道估计 被引量:3

Channel estimation of MB-OFDM based on preamble training symbols
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摘要 超宽带技术已逐渐成为无线通信领域研究、开发的一个热点,并被视为下一代无线通信的关键技术之一。UWB无线通信可以分成两种:无载波UWB、载波调制UWB。载波调制UWB有多种实现方案,主要有DS-CDMA UWB和MB-OFDM UWB。MB-OFDM作为UWB的一个重要候选方案,在频谱利用率、与其他窄带系统共存、抗干扰等方面有着出色的表现,而信道估计是无线通信领域的关键技术之一,是进行相关检测、解调、均衡的基础。文中在介绍MB-OFDM系统的构成、MB-OFDM系统信号结构以及超宽带信道模型的基础上,提出了一种基于前导训练系列的信道估计算法,对UWB信道条件下采用前导训练序列的LS估计和MMSE估计的性能进行了深入的分析和比较,最后给出了相关仿真结果。实验结果表明,利用前导训练系列的信道估计可以获得良好的性能。 Ultra wideband (UWB) is becoming a hotspot in wireless and development gradually. Moreover, it has been regarded as one of communication field research the key technologies in wireless communication of the next generation. UWB wireless communication can be divided into two types: one is based on impulse radio technique, the other is based on carrier modulation. The latter has many various realization schemes, DS-CDMA and MB-OFDM being the mostly schemes. As an important candidate of schemes, MB-OFDM has excellent performance in many aspects, such as utilization rate of spectrum, coexistence with other narrowband system, interference rejection etc. Channel estimation is one of the key technologies in wireless communication field, which is the base of correlation detection, demodulation and equalization. After the analysis of architecture, signal and channel model of MB-OFDM UWB wireless systems, channel estimation based on preamble training symbols is introduced in this paper. The performances of channel estimation approaches based on preamble training sequences according to the criterions of LS and MMSE respectively are investigated and compared in detail. At last, some simulation results are given. It has been proved by some simulation results that the performance of channel estimation using preamble training symbols is very good.
出处 《广西大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第6期803-808,共6页 Journal of Guangxi University(Natural Science Edition)
基金 国家863项目(2006AA12Z3140) 中国科学院青年人才专项基金项目(0700YRJS01)
关键词 超宽带 正交频分复用 信道模型 信道估计 ultra wideband orthogonal frequencydivision multiplexing channel model channel estimation
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