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针对MIMO-OFDMA上行无线通信系统,提出一种基于随机集理论的多用户时变信道和载波频率偏移联合估计算法.该算法基于随机集合理论,利用一个有限随机集合来表示和描述系统中实时动态变化的接入用户状态、多径信道的冲激响应,以及每个无线接入用户对应的载波频率偏移量;然后,利用贝叶斯最优估计理论,给出在随机集模型下MIMO-OFDMA上行无线系统中信道冲激响应和载波频率偏移的最优估计表达式;最后,利用粒子滤波算法逼近求解该随机集模型下的贝叶斯最优估计问题.仿真实验结果表明,在MIMO-OFDMA上行无线系统中接入用户数未知且动态变化等复杂情况下,该算法仍然可以实现对时变信道冲激响应和载波频偏的有效估计.
Aiming at MIMO-OFDMA uplink wireless communication system, a joint multi-user time-varying channel and carrier frequency offset estimation algorithm based on stochastic set theory is proposed.The algorithm is based on stochastic set theory, using a finite random set to represent and describe real-time Dynamically changing access user states, multipath channel impulse responses, and carrier frequency offsets for each wireless access user. Then, using Bayesian optimal estimation theory, MIMO systems are presented under MIMO Finally, the Bayesian optimal estimation problem under the stochastic set model is approximated by using the particle filter algorithm.The simulation results show that the optimal estimate of the channel impulse response and the carrier frequency offset in the uplink wireless system of the OFDM system is MIMO-OFDMA uplink wireless system in the unknown number of users and dynamic changes in complex cases, the algorithm can still achieve time-varying channel impulse response and carrier frequency offset effectively estimated.