邵华, 苏卫民, 顾红, 王灿. 基于稀疏互质L型阵列的二维测向算法[J]. 电波科学学报, 2012, 27(5): 886-891.
      引用本文: 邵华, 苏卫民, 顾红, 王灿. 基于稀疏互质L型阵列的二维测向算法[J]. 电波科学学报, 2012, 27(5): 886-891.
      SHAO Hua, SU Wei-min, GU Hong, WANG Can. Two-dimentional direction finding using a sparse coprime L-sharped array[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(5): 886-891.
      Citation: SHAO Hua, SU Wei-min, GU Hong, WANG Can. Two-dimentional direction finding using a sparse coprime L-sharped array[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(5): 886-891.

      基于稀疏互质L型阵列的二维测向算法

      Two-dimentional direction finding using a sparse coprime L-sharped array

      • 摘要: 在阵元数确定的情况下,稀疏阵列能增大阵列孔径,提高测向精度,但也带来测向模糊。针对这个问题,提出了一种稀疏互质L型阵列及其二维测向算法。利用四阶累积量的阵列扩展特性,并结合L型阵列中阵元间距的互质关系,在稀疏阵列结构下实现无模糊二维测向。与二维虚拟旋转不变算法相比,所提算法允许参考阵元间距大于信号半波长,从而提高了测向精度,同时利用逐步解模糊,保证较大的系统容差。计算机仿真结果验证了算法的有效性。

         

        Abstract: The sparse array with determined elements can increase the array aperture to improve two-dimentional direction-of-arrival(2D-DOA)accuracy,but it brings direction finding ambiguity too.To solve this problem,A sparse coprime L-shaped array and two-dimensional direction finding algorithm based on it are presented.The proposed algorithm utilizes the array extending capability of fourth-order cumulant and the coprime relationship between the interelement spacings in L-shaped array so that 2D-DOA without ambiguity can be realized under sparse array structure.Compared with two-dimentional virtual-ESPRIT algorithm,the proposed algorithm allows the spacings between the reference elements more than one-half wavelength,which leads to improve direction finding accuracy.Meanwhile,the larger system tolerance is guaranteed by a step-by-step reduction of the number of ambiguities.Computer simulation results verify the effectiveness of the proposed algorithm.

         

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