交织OFDMA频偏估计

同步是OFDM系统的关键技术之一。本文提出了一种针对多用户OFDM频偏估计的算法。利用交织子载波分配方案的OFDMA上行链路中,每个用户信号在一个OFDM符号内都具有一定的周期性结构。它是利用接收信号的结构特性,并借助一种新的子空间算法估计得到多用户的频偏。此算法利用总体最小二乘方法(TLS)取代特征值分解得到噪声子空间,其运算量小于多重信号分类(MUSIC)算法,而其性能与MUSIC算法相当。计算机仿真结果表明此算法是有效的。

Carrier frequency offset estimation for interleaved OFDMA

Synchronization is one of the most crucial techniques in OFDM.This paper proposes a novel carrier frequency offset estimation algorithm for interleaved OFDMA uplink.In interleaved OFDMA uplink,each user's signal has a special periodic structure within an OFDMA block.By utilizing the signal structure characteristic and novel subspace-based method,multiusers carrier frequency offsets can be obtained This algorithm is proposed by using total least squares(TLS) method instead of eigenvalue decomposition to obtain the noise subspace.The algorithm has a low computational complexity in comparison with the multiple signal classification(MUSIC) algorithm and the performance of the algorithm compares well with the MUSIC algorithm.Simulation results show that the method is effective.