摘要
基于MUSIC的DOA估计存在运算量大的问题,已有的改进快速算法很多是以降低精度为代价的,因此提出了基于降维子空间的多重信号分类快速算法,该算法先利用降维的噪声子空间进行DOA粗略估计,使得MUSIC搜索的运算量大大减小,然后利用最大噪声子空间对估计结果进行修正;数值仿真结果表明,该方法能够在不影响DOA估计精度的情况下显著降低运算量,使MUSIC算法更具实用性。
DOA estimation algorithms based on MUSIC are always computational consumption,and many of the modified fast algorithms are companied with regressive precision.A novel fast MUSIC algorithm was presented in this paper,which estimated the DOA with a dimension reduced noise subspace and then revised the result with the full dimensional noise subspace.The results of simulations indicated that this method reduced the computational complexity without reducing the precision of estimation.
出处
《探测与控制学报》
CSCD
北大核心
2010年第3期57-60,共4页
Journal of Detection & Control
