高鲁棒性的三元冗余稀疏线性阵列设计

Q3 Engineering
Shuhua Hou, Xuan Zhao, Zengli Liu, Yi Peng, Na Wang
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引用次数: 0

摘要

稀疏线性阵列在实际应用中容易受到环境等因素的影响而导致元件失效,导致自由度下降,DOA估计性能衰减甚至失效。为解决这一问题,设计了由三个均匀线性阵列在特定距离上不同间距组成的三元冗余稀疏阵列,并推导了其自由度的解析表达式。阵列的配置规则简洁,阵列的差分阵列无空穴。数学证明了除了最远的4个元素外,所有虚数组元素都可以被不小于3的权值覆盖。该阵列具有较低的传感器重要性和较低的广义k-脆弱性。阵列的设计考虑了最大自由度、冗余性和稀疏性。在传感器失效的情况下,与其他稀疏线性阵列相比,该阵列具有更稳定的差分阵和更高的均匀自由度。与多重冗余阵列相比,该阵列具有较低的互耦性。仿真结果表明,在传感器失效情况下,三元冗余阵列具有较好的鲁棒性和较高的DOA估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ternary redundant sparse linear array design with high robustness
Sparse linear array is prone to element failure affected by environmental and other factors in practical application, resulting in the decline of degrees of freedom and the attenuation or even failure of direction of arrival (DOA) estimation performance. To address this problem, a ternary redundant sparse array composed of three uniform linear arrays with different spacings at specific distances is designed, and the analytical expression of its degrees of freedom is derived. The configuration rules of the array are concise, and the difference coarrays of the array are hole-free. Mathematically proves that all virtual array elements can be covered with a weight of not less than 3 except the 4 farthest. The array has lower sensors importance and less generalized k-fragility. The array design takes into account the maximum degrees of freedom, redundancy and sparsity. In case of sensors failure, compared with the other sparse linear arrays, the array has more stable difference coarrays and higher uniform degrees of freedom. Compared with multiple-fold redundancy arrays, the array has lower mutual coupling. Simulation results show that the ternary redundant array has superior robustness and higher DOA estimation accuracy under sensors failure.
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来源期刊
西北工业大学学报
西北工业大学学报 Engineering-Engineering (all)
CiteScore
1.30
自引率
0.00%
发文量
6201
审稿时长
12 weeks
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