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提出了一种基于传输信道状态检测的低复杂度无线OFDM系统自适应信道估计算法,利用导频子载波在时频方向对当前信道状态进行统计检测,动态跟踪信道参数的变化特征,自适应选择当前条件下的最优内插滤波系数;同时简化传输信道先验统计信息求解,以此作为滤波系数选择的依据。仿真结果表明,在低复杂度条件下可以获知当前信道模型化参数近似统计信息,利用较少的计算资源就能获得较好的自适应性能;从而有效克服了二维Wiener滤波器实现复杂度高,以及传统信道估计按照最恶劣信道情况上限进行设计所导致的非匹配性估计性能损失。
A new channel estimation algorithm for low complexity wireless OFDM system based on transmission channel state detection is proposed. By using the pilot subcarriers to detect the current channel state in the time-frequency direction, the tracking characteristics of the channel parameters are dynamically tracked, and adaptive selection Under the current conditions, the optimal interpolation filter coefficient; at the same time simplifying the transmission channel priori statistical information to solve, as a filter coefficient selection basis. The simulation results show that the approximate statistical information of the current channel modeling parameters can be obtained under low complexity conditions, and the better adaptive performance can be obtained by using less computational resources. Thus, the implementation complexity of the two-dimensional Wiener filter can be effectively overcome , As well as the performance loss of non-matching estimation caused by the design of the traditional channel estimation according to the worst channel condition upper limit.