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An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation
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DOI：10.3390/s23146625.png)
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摘要
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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 4Q(1)Q(2)+8Q(1)-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.
Keyword:
sensor array
wireless communication
direction of arrival (DOA) estimation
array signal processing
L-shaped three-level
single common element sparse array (LTSESA)
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IF:
3.5
论文数:
7.2W
被引数:
20.9W
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Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped ArrayCo-array张量CPD与co-rime l形阵列的DOA估计
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