Compressive Sensing Based Design of Sparse Tripole Arrays

Sensors

Matthew Hawes²  Wei Liu¹  Lyudmila Mihaylova² 

[1] Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK;Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK;

关键词: sparse array;    vector sensors;    tripoles;    compressive sensing;    reweighted minimisation;   

DOI  :  10.3390/s151229849

来源: mdpi

【 摘 要 】

This paper considers the problem of designing sparse linear tripole arrays. In such arrays at each antenna location there are three orthogonal dipoles, allowing full measurement of both the horizontal and vertical components of the received waveform. We formulate this problem from the viewpoint of Compressive Sensing (CS). However, unlike for isotropic array elements (single antenna), we now have three complex valued weight coefficients associated with each potential location (due to the three dipoles), which have to be simultaneously minimised. If this is not done, we may only set the weight coefficients of individual dipoles to be zero valued, rather than complete tripoles, meaning some dipoles may remain at each location. Therefore, the contributions of this paper are to formulate the design of sparse tripole arrays as an optimisation problem, and then we obtain a solution based on the minimisation of a modifiednorm or a series of iteratively solved reweighted minimisations, which ensure a truly sparse solution. Design examples are provided to verify the effectiveness of the proposed methods and show that a good approximation of a reference pattern can be achieved using fewer tripoles than a Uniform Linear Array (ULA) of equivalent length.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.