CAJ | 학술논문

针对双平行线阵的二维波达方向( DOA)估计问题，为有效降低计算复杂度，提出了一种基于降秩多级维纳滤波器( MSWF)的快速算法。首先利用MSWF的前向递推实现信号子空间的快速估计，无需估计协方差矩阵和特征分解；然后，通过MUSIC算法对方位角和俯仰角的估计进行分维估计，使二维DOA估计退化为两个一维DOA估计问题，且方位角和俯仰角自动配对，进一步降低了运算量。仿真结果表明，该方法的估计精度优于同样基于双平行线阵提出的波达方向矩阵法( DOAM)，俯仰角兼并时同样适用，计算复杂度低，适用于实时性要求高的应用背景。
침대쌍평행선진적이유파체방향( DOA)고계문제，위유효강저계산복잡도，제출료일충기우강질다급유납려파기( MSWF)적쾌속산법。수선이용MSWF적전향체추실현신호자공간적쾌속고계，무수고계협방차구진화특정분해；연후，통과MUSIC산법대방위각화부앙각적고계진행분유고계，사이유DOA고계퇴화위량개일유DOA고계문제，차방위각화부앙각자동배대，진일보강저료운산량。방진결과표명，해방법적고계정도우우동양기우쌍평행선진제출적파체방향구진법( DOAM)，부앙각겸병시동양괄용，계산복잡도저，괄용우실시성요구고적응용배경。
In two-dimensional direction-of-arrival ( DOA) estimation of two parallel linear arrays,a fast method is presented based on multi-stage Wiener filter( MSWF) to reduce the computational complexity. First,signal subspace is obtained quickly by using the forward recursions of the MSWF instead of estimating covariance matrix and eigen decomposition. Then, azimuth and elevation angles are estimated individually by MUSIC algorithm and paired automatically, which converts the 2-D estimation into two 1-D problems and decreases the computational complexity further. The simulation results indicate that the performances of the algorithm are better than that of DOA Matrix Method( DOAM) which is also based on the same array model. The proposed algorithm is also effective when elevation angles are equal and its computational com-plexity is low, so it is suitable for high real-time DOA estimation.