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本文对频偏和相偏参数未知的幅相调制信号的识别问题,提出了一种新的基于似然函数的方法。该方法引入一种自适应的马尔可夫链蒙特卡罗(MCMC)算法——自适应Metropolis(AM)算法,可产生满足目标分布的未知参数的各态历经样本从而实现似然函数的近似计算。仿真试验表明算法具有很好的收敛性和识别精度。
In this paper, a new method based on the likelihood function is proposed to identify the phase-modulated signal whose frequency offset and phase offset parameters are unknown. This method introduces an adaptive Markov chain Monte Carlo (MCMC) algorithm - adaptive Metropolis (AM) algorithm, which can generate all the samples of the unknown parameters satisfying the target distribution to achieve the approximate calculation of the likelihood function . Simulation results show that the algorithm has good convergence and recognition accuracy.