基于协方差拟合旋转不变子空间信号参数估计算法的高分辨到达角估计

发布时间：2018-03-10 12:25

  本文选题：到达角估计　切入点：协方差拟合　出处：《上海交通大学学报》2017年09期 　论文类型：期刊论文

【摘要】：为进行高分辨到达角(DOA)估计的同时避免稀疏类算法的不足,提出了协方差拟合旋转不变子空间信号参数估计(ESPRIT)算法.首先将协方差拟合准则转换成半正定规划问题,利用凸优化进行求解,得到更接近理论值的信号协方差矩阵;然后对估计的信号协方差矩阵进行特征分解,利用信号子空间和噪声子空间特征值的差异估计信源个数;最后利用子空间旋转不变性反解出未知DOA.仿真实验从DOA估计精度、分辨率等方面验证了该算法的有效性,较传统ESPRIT算法具有更高的DOA估计分辨率并且受相干信源影响小;与稀疏类算法相比,不依赖先验信息以及避免了网格失配问题.
[Abstract]:In order to carry out high resolution DOA estimation and avoid the shortage of sparse algorithms, a covariance fitting rotation invariant subspace signal parameter estimation algorithm is proposed. The covariance fitting criterion is first converted into a positive semidefinite programming problem. The signal covariance matrix, which is closer to the theoretical value, is solved by convex optimization, then the estimated signal covariance matrix is decomposed and the number of information sources is estimated by using the difference between the eigenvalues of the signal subspace and the noise subspace. Finally, the unknown DOA is solved by subspace rotation invariance. The simulation results show that the proposed algorithm is effective in terms of DOA estimation accuracy and resolution. Compared with the traditional ESPRIT algorithm, the proposed algorithm has higher DOA resolution and is less affected by coherent sources. Compared with sparse class algorithm, it does not rely on prior information and avoids mesh mismatch problem.
【作者单位】： 空军预警学院;
【基金】：国家自然科学基金(61401504) 军内计划科研项目(2015×××) 湖北省自然科学基金(2016CFB288)资助
【分类号】：TN911.7
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本文编号：1593330