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实现无线信道统计复用,关键技术之一就是分离收到的时频域混合信号的算法。文章针对Marc最近提出的一种新峭度信号分离算法在计算最优步长过程中仍然运算量较大、耗时长的问题,提出了利用分离度来选择和优化步长。计算机仿真结果表明:在分离混合信号性能几乎不下降的情况下,较Marc算法显著缩短了计算步长的时间,平均缩短了75%。
To achieve wireless channel statistical multiplexing, one of the key technologies is to separate received time-frequency domain mixed signal algorithm. In this paper, Marc recently proposed a new kurtosis signal separation algorithm in the process of calculating the optimal step is still a large amount of computation time-consuming, the use of resolution to optimize and select the step size. Computer simulation results show that, compared with the Marc algorithm, the computation time can be significantly shortened, with an average reduction of 75%.