MIMO-OFDM系统中基于CS-ESPRIT算法的多频偏盲估计  

Blind Estimation of Multi-CFO in MIMO-OFDM System Based on CS-ESPRIT Algorithm

作　　者：牛英滔[1] 沈越泓[1] 简伟[1] 

机构地区：[1]解放军理工大学通信工程学院,江苏南京210007

出　　处：《系统仿真学报》2008年第14期3807-3810,3814,共5页Journal of System Simulation

基　　金：国家自然科学基金(60772083)

摘　　要：提出了一种基于接收信号循环平稳特性(CS)和基于旋转不变技术的参数估计方法(ESPRIT)的多输入多输出正交频分复用(MIMO-OFDM)系统多频偏盲估计算法。理论分析表明,算法无需训练序列或导频符号,可估计每对收发天线间频偏,适用于任意分布加性平稳噪声下的频偏估计。计算机仿真验证了算法在低信噪比下仍可取得稳定性能,并在传统单入单出(SISO)OFDM系统中也可获得较好的性能。A novel blind multiple carrier frequency offset （CFO） estimation algorithm based on received signal cyclostationarity （CS） and estimating signal parameter via rotational invariance techniques （ESPRIT） was proposed in multi-input multi-output orthogonal frequency division multiplexing （MIMO-OFDM） systems. Theory analysis shows that the algorithm doesn＇t require pilot symbols or training sequences, can estimate all CFOs between every pair of transmit and receive antenna. It adapts to the carrier synchronization under any distributed stationary noise. Simulation results verify the performance of the proposed algorithm keep stableness at low SNR. It can also achieve fine performance in traditional single-input single-output （SISO） OFDM systems.

关 键 词：多输入多输出正交频分复用 循环平稳 ESPRIT 多频偏估计 

分 类 号：TN923.53[电子电信—通信与信息系统]