一种基于混合RJMCMC方法的宽带信号DOA估计方法

该文基于被动多传感器阵列，在可逆跳转马尔可夫链蒙特卡罗方法基础上引入随机游走抽样理论，提出一种混合RJMCMC方法，通过将局部采样与全空间采样相结合，可以在更短的时间内得到更好地服从目标分布的随机数，结合信号和噪声的统计特性以及贝叶斯参数估计理论可实现宽带信号源数目和波达方向联合估计。仿真结果证明，该文方法能更为快速、准确地估计出信号源个数和波达方向。

DOA Estimation of Wideband Signals Based on Hybrid RJMCMC Method

In this paper, an efficient hybrid sampling algorithm introducing the random walk method into the reversible jump Markov Chain Monte Carlo (RJMCMC) method is developed to jointly detect and estimate the wideband signals impinging on passive sensors, which combines the local sampling and the whole space sampling, and can get random number more obeying to target distribution in a shorter time. The method is proposed on the basis of Bayesian theory, and the statistical characteristic of the noise and signals. The accuracy and the validity of this method are well verified by the simulation.