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针对最小均方误差准则下(Minimum Mean Square Error,MMSE)判决反馈信道估计算法在多输入多输出正交频分复用(Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing,MIMO-OFDM)低信噪比水声通信环境下存在误码遗传缺陷,提出了一种基于压缩感知理论的改进的MMSE判决反馈信道估计算法。通过结合浅海水声信道的稀疏性特点,利用编码校验后的信息与原始信息实现了对信道估计的判决反馈更新,采用匹配追踪算法改进MMSE判决反馈追踪信道估计技术,实现了抑制传统判决反馈信道估计算法在迭代更新及传递过程中存在的误码遗传的目的。仿真和水池实验结果证实:改进的MMSE判决反馈追踪信道估计算法不仅可以有效的抑制误码遗传,对抗突发噪声,跟踪信道的缓慢时变,同时大幅降低了导频占用率,提高了通信质量。
Aiming at the problem that the minimum mean square error criterion (MMSE) decision feedback channel estimation algorithm is used in multiple-input multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Compared with the underwater acoustic communication environment, there is a genetic defect of error code, and an improved MMSE decision feedback channel estimation algorithm based on compressed sensing theory is proposed. By combining the sparse features of shallow water acoustic channel, the feedback of channel estimation is updated by using the encoded information and original information. The matching pursuit algorithm is used to improve the MMSE decision feedback tracking channel estimation technique, which can suppress the traditional decision feedback The purpose of channel estimation algorithm in the iterative updating and transmission error genetic code. Simulation and pool experiments show that the improved MMSE decision feedback tracking channel estimation algorithm can not only effectively suppress the error inheritance, counter the burst noise, track the slow time-varying of the channel, but also reduce the pilot occupation rate and improve the communication quality .