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提出了一种新的粒子滤波重采样算法——降序二分法,这种算法的主要思想是在分层重采样算法的基础上,寻找权重最大点的过程用折半二分法。另外,把这种算法应用于信道的盲均衡中,为了易于采样,重要性函数采用先验概率密度,用信道的均值代替信道的真实值,仿真结果表明,这种算法的平均性能优于之前的重采样算法,且均衡的同时能够完成对信道的辨识。
A new particle filter resampling algorithm named descending dichotomy is proposed. The main idea of this algorithm is to use the half-dichotomy method to find the maximum point of weight based on the hierarchical resampling algorithm. In addition, this algorithm is applied to the blind equalization of the channel. In order to be easy to sample, the prior probability density is used as the importance function and the true value of the channel is replaced by the average value of the channel. The simulation results show that the average performance of this algorithm is better than that of the previous Resampling algorithm, and can be balanced at the same time to complete the channel identification.