论文部分内容阅读
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 multi-input blind multiple-blind estimation algorithm for MIMO-OFDM system based on received signal cyclic smoothing (CS) and parameter invariance based on rotation invariant technique (ESPRIT) is proposed. Theoretical analysis shows that the algorithm can estimate the frequency offset between each pair of transmitting and receiving antennas without training sequence or pilot symbols and is suitable for frequency offset estimation under additively distributed and stationary noise. Computer simulation shows that the algorithm can still achieve stable performance at low signal-to-noise ratio and achieve better performance in the traditional single-in-single-out (SISO) OFDM system.