A Robust Sparse Fractal Array

被引:0
作者
Goel, Kretika [1 ]
Aggarwal, Monika [2 ]
Kar, Subrat [3 ]
机构
[1] IIT Delhi, SENSE, New Delhi, India
[2] IIT Delhi, CARE, New Delhi, India
[3] IIT Delhi, Dept Elect Engg, New Delhi, India
来源
2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC | 2023年
关键词
Sparse array; fractal array; DOA(direction of arrival estimation); DOF(degree of freedom); MUSIC(Multiple Signal Classification); ESPRIT(Estimation of Signal Parameters via Rotational Invariance Technique algorithms); ULA(uniform linear array); DOA ESTIMATION; DESIGN;
D O I
10.1109/CCWC57344.2023.10099275
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The term fractal refers to the fractional dimensions that have recursive nature and exhibit better array factor properties. In this article, we present a new class of sparse arrays where the recursive nature of a fractals is used in designing an antenna array called a sparse fractal array by combining sparsity properties of the various sparse array and the recursive nature of the fractal array. The most important property of the proposed array is the hole-free difference coarray which makes it a good choice for DOA estimation. Upon carrying out the robustness analysis of the proposed geometry in sensor failure environment it is found that the proposed array is robust enough as compared to already existing sparse arrays which shows highest fragility value. Direction of arrival estimation of the uncorrelated sources using the proposed geometry showed the RMSE(root mean square error) value of the order of 10(-3) which proves it to be a good choice for the application of DOA estimation algorithms like MUSIC, ESPIRIT etc.
引用
收藏
页码:1198 / 1204
页数:7
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