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对于稀疏多径衰落信道,提出了一种叠加训练序列和匹配跟踪算法相结合的信道估计方法。为了提高系统带宽效率,采用迭代的叠加训练估计信道响应,该方法将一低功率周期性的训练序列直接叠加于信息序列,利用接收数据的均值求得信道响应,不需要任何额外带宽资源。在许多无线通信环境中,信道呈现稀疏特性,利用该稀疏特性,采用匹配跟踪算法估计信道响应中的非0点,以此可以降低加性高斯白噪声引起的性能损失。通过计算机仿真表明,本文的方法可以达到很好信道估计性能。
For sparse multipath fading channel, a channel estimation method based on superposition training sequence and matching tracking algorithm is proposed. In order to improve the system bandwidth efficiency, iterative overlay training is used to estimate the channel response. This method directly superimposes a low-power periodic training sequence on the information sequence and uses the average of the received data to obtain the channel response without any extra bandwidth resources. In many wireless communication environments, the channel exhibits sparse characteristics. By using this sparse characteristic, the matching tracking algorithm is used to estimate the non-zero points in the channel response, which can reduce the performance loss caused by additive white Gaussian noise. Computer simulation shows that the proposed method can achieve good channel estimation performance.