摘要
为解决相关噪声环境下相干信源的二维波达方向估计问题,克服最常用的子空间类算法,如MUSIC算法、ESPRIT算法等的不足,将四阶累积量和空间平滑方法相结合,提出了一种新的CSS算法。该算法采用两个平行的均匀线阵作为阵列传感器,通过特殊定义的四阶累积量矩阵对接收空域数据进行平滑处理,实现了相关噪声环境下对相干信源的二维波达方向的估计,并且所估计信源的二维波达方向能够自动配对,最后通过蒙特卡罗实验证明了所提CSS算法2D-DOA性能的有效性。
In order to solve 2D-DOA estimation problem for coherent sources under the correlated noise environment,a spatial smoothing four-order cumulant-based algorithm（CSS）is presented.This algorithm can overcome the drawbacks of the most commonly used subspace algorithms,such as MUSIC algorithm,ESPRIT algorithm,etc.The algorithm uses two parallel uniform linear arrays as the array sensors.By the four-order cumulant matrix means,the received spatial data is smoothed and the two dimensional DOA estimation of coherent sources is realized.The two-dimensional angle signals can be paired automatically.Finally,the effectiveness of the proposed 2D-DOA algorithm is proved by Monte Carlo simulation.
出处
《雷达科学与技术》
北大核心
2017年第4期359-361,367,共4页
Radar Science and Technology
基金
国家自然科学基金(No.61601502
61501501)
航空基金(No.20150196007
20150196003
20160196003)
关键词
相关噪声
相干信源
波达方向估计
阵列天线
correlated noise
coherent source
direction of arrival
array antenna
