摘要
本文在分析各种自适应信号盲分离算法渐近稳定性基础上，提出了一种有效的自适应学习算法用于波达方向宫估计研究了算法的有界性和渐近稳定性．以渐近稳定性为前提，给出了算法中非线性函数的适当选择．为了抑制噪声和估计信源数，在算法中还增加了白化过程．仿真研究表明，算法是有效的而鲁棒的，其能够从有噪声的阵元信号中估计波达方向。
The blind direction-of-arrival estimation implies estimating direction-of-arrival of source signals under the unknown channel structure and responSe and can extensively be aPPlied to wireless communications, radar, sonar and so on.Since the convergence of the existed adaptive blind separation algorithms is dependent on the statistic properties of the unknown source signals, in order to overcome this shortcoming, we propose an efficient algorithm for adaptive blind direction-ofarrival estimation based on the asymptotically convergent analysis for the available adaptive blind separation algorithms. Its handedness and asymptotic stability are given and proved. According to the requirement of the asymptotic stability of algorithm,we select appropriately the nonlinear functions in algorithm. For inhibiting the noise and estimating the number of sources, this algorithm also includes the whitening prccers of signals. The simulation rlts show that algorithm is efficient and robust, and estimates the direction-of-arrival from the source signals with noise.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第3期1-4,共4页
Acta Electronica Sinica
基金
国家自然科学基金
关键词
波达方向估计
信号盲分离
算法
阵列信号处理
Direction-of-arrival estimation, Blind separation, Adaptive algorithm, Asymptotic stability
