Du Bo, Cui Weijia, Ba Bin, Xu Haiyun, Gao Wubin
Institute of Information Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, China.
Sensors (Basel). 2023 Jul 23;23(14):6625. doi: 10.3390/s23146625.
The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented, is a crucial research direction in the field of direction of arrival (DOA) estimation. In this paper, we propose a novel L-shaped sparse sensor array by adjusting the physical placement of the sensors in the sparse array. The proposed L-shaped sparse array consists of two sets of three-level and single-element sparse arrays (TSESAs), which estimate the azimuth and elevation angles, respectively, through one-dimensional (1-D) spatial spectrum search. Each TSESA is composed of a uniform linear subarray and two sparse subarrays, with one single common element in the two sparse subarrays. Compared to existing L-shaped sparse arrays, the proposed array achieves higher degrees of freedom, up to 4Q1Q2+8Q1-5, when estimating DOA using the received signal covariance. To facilitate the correct matching of azimuth and elevation angles, the cross-covariance between the two TSESA arrays is utilized for estimation. By comparing and analyzing performance parameters with commonly used L-shaped and other sparse arrays, it is found that the proposed L-shaped TSESA has higher degrees of freedom and array aperture, leading to improved two-dimensional (2-D) DOA estimation results. Finally, simulation experiments validate the excellent performance of the L-shaped TSESA in 2-D DOA estimation.
自由度(DOF)是评估稀疏阵列结构设计的一项重要性能指标。设计具有更高自由度的新型稀疏阵列,同时确保阵列结构能够用数学方式表示,是到达方向(DOA)估计领域的一个关键研究方向。在本文中,我们通过调整稀疏阵列中传感器的物理布局,提出了一种新型的L形稀疏传感器阵列。所提出的L形稀疏阵列由两组三级和单元素稀疏阵列(TSESA)组成,它们分别通过一维(1-D)空间谱搜索来估计方位角和仰角。每个TSESA由一个均匀线性子阵列和两个稀疏子阵列组成,两个稀疏子阵列中有一个公共单元素。与现有的L形稀疏阵列相比,当使用接收信号协方差估计DOA时,所提出的阵列实现了更高的自由度,高达4Q1Q2 + 8Q1 - 5。为了便于方位角和仰角的正确匹配,利用两个TSESA阵列之间的互协方差进行估计。通过与常用的L形和其他稀疏阵列的性能参数进行比较和分析,发现所提出的L形TSESA具有更高的自由度和阵列孔径,从而导致二维(2-D)DOA估计结果得到改善。最后,仿真实验验证了L形TSESA在二维DOA估计中的优异性能。