摘要
基于阵列单通道系统,提出了一种新的宽带信号高分辨参数估计方法。利用带通信号的重构理论,建立了新的阵列单通道时域空间谱估计模型。而后推导了信源数目和时延的联合后验概率密度函数。运用改进的混合可逆跳转马尔科夫链蒙特卡罗(Reversible Jump Markov Chain Monte Carlo,RJMCMC)方法实现了信源数目和波达方向(Direction Of Arrival,DOA)联合估计。模型构建不受信号相关性限制。仿真结果证实了方法的正确性和估计性能的提高。
Based on single channel array system, a new parameter estimation approach for wideband signals is proposed in this paper. Using band-pass signal reconstruction theory, a novel single channel array processing model is established. The desired posterior distribution function including the number and ISD (Inter-Sensor Delay) is derived. The Direction Of Arrival (DOA) estimation and source number detection are realized through an improved hybrid Reversible Jump Markov Chain Monte Carlo (RJMCMC) method. This model is well suited for coherent signals. Computer simulation verifies the validity of the method and the improvement of estimation.
出处
《计算机工程与应用》
CSCD
2013年第20期230-234,共5页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(No.2011AA7031015)
关键词
阵列信号处理
贝叶斯估计
波达方向
信源数目
阵列单通道
array signal processing
Bayesian estimation
Direction Of Arrival(DOA)
source number
single channel array