摘要
提出一种基于四阶累积量和传播算子的近场源方向角和距离二维参数联合估计算法,算法利用均匀线阵接收的数据构造四阶累积量矩阵,采用传播算子方法估计出接收信号的噪声子空间,构造MUSIC谱函数,通过谱峰搜索方法,估计信源的方向角和距离二维参数。与传统MUSIC算法相比,所提出的算法利用传播算子方法直接估计出噪声子空间的最小二乘解,而非传统奇异值分解算法的正交解,在估计性能上略逊色于传统的奇异值分解算法,但是却具有较低的计算复杂度,仿真实验验证了所提出算法的有效性。
A new method based on fourth-order cumulant and propagator method for the joint estimation of the range and DOA of spatial near-field sources is presented. The fourth-order cumulant matrix is constructed using the received uniform linear array data, the received signal noise subspace is estimated by propagator method; the range and DOA of spatial near-field sources are gotten through the spectrum peak search method after the MUSIC spectrum function construction. Compared with the traditional MUSIC algorithm, the presented algorithm with the propagator method directly estimates the least squares solution of the noise subspace, rather than conventional orthogonal solution of singular value decomposition algorithm. Although the estimation performance of the presented alogorithm is slightly inferior to the traditional singular value decomposition algorithm, it has lower computational complexity. The simulation results show the proposed method is effective.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2017年第10期2588-2592,共5页
Journal of System Simulation
基金
国家自然科学基金(61271412)
天津职业技术师范大学校级项目(KJ14-33
RC14-46
KJ1713)
关键词
近场源
四阶累积量
方向估计
距离估计
传播算子
near-field source
four-order cumulant
DOA estimate
range estimate
propagator method
