论文部分内容阅读
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 joint estimation algorithm based on fourth-order cumulant and propagation operator is proposed for two-dimensional parameter estimation of near-field source orientation angle and distance. The algorithm constructs the fourth-order cumulant matrix by using the data received by a uniform linear array and estimates the receiving Signal noise subspace, the MUSIC spectral function is constructed, and the direction angle and the distance two-dimensional parameter of the source are estimated through the spectral peak search method. Compared with the traditional MUSIC algorithm, the proposed algorithm directly uses the propagation operator method to estimate the least squares solution of the noise subspace, rather than the orthonormal solution of the traditional singular value decomposition algorithm, which is slightly inferior in performance to the traditional singularity However, it has a lower computational complexity. Simulation results show the effectiveness of the proposed algorithm.