CAJ | 학술논문

针对L型阵列，提出一种在高斯白噪声环境下的二维波达方向( DOA)快速估计方法。首先利用阵列结构特点构建两个互协方差矩阵，同时实现了噪声分量的有效抑制，再依据协方差矩阵的性质构造了波达方向矩阵。对该矩阵进行一次特征分解即可分别得到包含方位角和俯仰角信息的方向矢量和方向元素，实现二维DOA估计。该算法避免了传统算法的谱峰搜索或大矩阵构造及其特征分解过程，计算量小，且参数自动配对。仿真结果表明，该算法在低性噪比和少快拍下的估计精度与2 D ESPRIT算法近似，但计算复杂度大幅降低，适用于实时性高的工程应用背景。
침대L형진렬，제출일충재고사백조성배경하적이유파체방향( DOA)쾌속고계방법。수선이용진렬결구특점구건량개호협방차구진，동시실현료조성분량적유효억제，재의거협방차구진적성질구조료파체방향구진。대해구진진행일차특정분해즉가분별득도포함방위각화부앙각신식적방향시량화방향원소，실현이유DOA고계。해산법피면료전통산법적보봉수색혹대구진구조급기특정분해과정，계산량소，차삼수자동배대。방진결과표명，해산법재저성조비화소쾌박하적고계정도여2 D ESPRIT산법근사，단계산복잡도대폭강저，괄용우실시성고적공정응용배경。
A fast two-dimensional(2-D) direction-of-arrival( DOA) estimation method based on L-shape array with Gaussian white noise is presented. First,according to the structure of the array,two cross-covar-iance matrices are constructed and the effect of noise is suppressed at the same time. Then,a DOA matrix is formed from the covariance matrices. Direction vectors and direction elements as taht of 2-D bearing an-gles can be obtained by performing eigen-decomposition of the DOA matrix. The proposed algorithm is more computationally efficient than conventional algorithms without searching spectral peak,and the param-eters can be paired automatically. Simulation results indicate that the performance of the algorithm is nearly the same as that of 2D ESPRIT algorithm with much lower computational complexity,so it is suitable for high real-time applications.