摘要
本文提出一种基于累积量的二维 Ｄ Ｏ Ａ 估计特征向量算法（ Ｃ Ｅ Ｖ Ａ Ｃｕｍｕｌａｎｔ ｂａｓｅｄ Ｅｉｇｅｎ Ｖｅｃｔｏｒ Ａｐｐｒｏａｃｈ） ．算法能同时确定目标的仰角与方位角；空间平滑累积量使算法能更有效抑制高斯空间有色噪声．本文证明了，通过对累积量的选择，算法还可抑制非高斯空间白噪声．仿真实验证明了该算法明显优于 Ｍ Ｕ Ｓ Ｉ Ｃ 算法．
CEVA Cumulant based Eigen Vector Approach to 2 D DOA estimation is proposed.New algorithm determines elevation and azimuth at the same time.Spatial smoothed cumulants increase the insensibility to spatial correlated Gaussian noises.It is also proven that particular chosen cumulants make proposed algorithm even insensitive to spatial white non Gaussian noises.Simulation results show the remarkable higher performance with comparison to those obtained from MUSIC method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第9期138-140,共3页
Acta Electronica Sinica
