基于循环自相关的DOA估计方法研究

为了克服传统信号DOA估计的不足,提高信号的选择性和分辨率,文章给出了基于循环均值阵列信号模型.根据该信号模型,运用最小二乘得到了对源信号方向进行估计的有效算法.该算法利用信号的循环平稳特性去除接收信号中的非循环平稳信号和不同循环频率的循环平稳信号,用循环统计量方法替代传统的二阶统计量方法,得到很好的DOA估计效果.计算机仿真结果证明,该算法在不同角度下具有很好的估计一致性和噪声抑制性.与其他的DOA估计算法相比,计算量较小,同时处理的对象既可以是窄带信号也可以是宽带信号,具有很好的实际应用价值.

Estimating DOA based on cyclic auto correlation

To overcome the shortage of traditional direction of arrival(DOA) methods and to improve the properties of direction finding in signal selectivity,an array signal model is proposed based on cyclic means as well as a least mean square(LMS) approach to estimate DOA.Using a signal's cyclic-stationary trait,this method can eliminate noncyclic-stationary signals and different frequency cyclic-stationary signals.Through theoretical analysis and simulation,this method shows preferable consistency for estimating dissimilar angle and also restrains noise.Compared with other calculation estimates,it not only can deal with narrowband signal but also broadband,at the same time diminishing calculations and providing favorable actual values.