基于马氏距离的相位噪声抑制算法

Phase noise suppression algorithm based on Mahalanobis distance

针对未来长期演进上行链路中单载波频分多址(SC-FDMA)系统对相位噪声敏感的特性,提出基于马氏距离的残余相位噪声抑制算法.使用SC-FDMA系统中的导频序列对相位噪声进行初步估计补偿之后,残余的相位噪声服从高斯分布.该算法利用残余相位噪声的统计分布信息来计算接收符号到各个星座符号之间的马氏距离,再选取马氏距离取得最小值时对应的星座符号作为发送符号的估计.仿真结果表明:该算法能很好地消除残余相位噪声的影响,降低接收端恢复数据的误符号率,提高系统性能.

A Mahalanobis distance-based residual phase noise suppression algorithm was proposed for the future long term evolution uplink single carrier-frequency division multiple access（SC-FDMA）sys- terns considering their sensibility to the phase noise. After the initial estimation and compensation by the pilots in the SC-FDMA systems, the residual phase noise followed a Gaussian distribution. The algorithm used distribution statistics of the residual phase noise to calculate the Mahalanobis distances between the received symbol and each constellation symbols, and then chose the constellation symbol corresponding to the minimum Mahalanobis distance as the estimation of the transmitted symbol. Sim- ulation results show that the proposed algorithm can eliminate the influence of the residual phase noise, reduce the symbol error rate of the recovered symbols,and improve the performance of the system.