基于粒子滤波的数字信号解调器

传统的数字信号解调方法存在着载波恢复、符号同步等问题,实现起来较为复杂。粒子滤波是从概率统计的角度出发,使用一个具有相应权值的随机样本集合来表示需要的后验概率密度。因此以接收信号的幅度、载波频率、相位为待估计参数矢量,应用粒子滤波算法可以实现对数字信号的解调,通过仿真验证了该方法的有效性,相对于传统方法更为方便。

The Digital Signal Demodulator Based on Particle Filtering

The traditional digital signal demodulation method that realizes more complex has the problems of carrier recovery,symbol synchronization and so on.Particle filtering is from the probability and statistic point of view,using a collection of random samples with corresponding value to express the posterior probability density.So the magnitude,carrier wave frequency,phase vectors can be seen as the estimated parameters,using the particle filtering to achieve the demodulation of digital signal.This method has b...