Vector RLS-based joint estimation of channel response and frequency offsets for MIMO-OFDM

被引：0
作者：
Nguyen-Le, Hung [1 ]
Le-Ngoc, Tho [2 ]
Ko, Chi Chung [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
[2] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2K6, Canada
来源：
GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11 | 2007年
关键词：
multiple-input multiple-output (MIMO); orthogonal frequency division multiplexing (OFDM); vector recursive least-squares (RLS) algorithm; channel impulse response (CIR); carrier frequency offset (CFO); sampling frequency offset (SFO);
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper proposes a pilot-aided algorithm for the joint estimation of the channel impulse response (CIR), carrier frequency offset (CFO) and sampling frequency offset (SFO) in burst-mode multiple-input multiple-output (MIMO) - orthogonal frequency division multiplexing (OFDM) systems. We employ the vector recursive least-squares (RLS) algorithm that can function as an adaptive filter with multiple outputs for the joint estimation problem in MIMO scenarios. Specifically, based on the received signal samples that contain pilot tones in the frequency domain, we formulate a cost function that includes the multi-antenna channel impulse responses and frequency offsets for the vector RLS-based joint estimation of CIR, CFO and SFO. Analytical and simulated results show that, over large ranges of CFO and SFO values, the proposed estimation and tracking approach offers fast convergence, high stability, and provides a near optimum receiver performance that is remarkably close to the ideal one in the case of perfect channel estimation and synchronization over Rayleigh multi-path failing channels.
引用
收藏
页码：2801 / +
页数：2
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