Title
Direction-of-arrival estimation with single-RF ESPAR antennas via sparse signal reconstruction
Abstract
In this paper, a direction-of-arrival (DoA) estimation method based on compressive sensing is proposed for an electronically steerable parasitic array radiator (ESPAR) antenna, which uses only a single radio frequency (RF) chain, and is thereby suited for application in compact wireless terminals. Unlike a conventional multi-active antenna array, signals impinging on parasitic elements in an ESPAR array cannot be processed, and only the output of the sole active element can be processed. In this context, for an ESPAR array, a sparse representation of the DoA estimation problem is formulated by first using an overcomplete dictionary composed of samples from the array manifold and then projecting them onto a set of directional beampatterns. The projection matrix is designed to divide the angle space of the receive antenna array into sectors which are accessed via their corresponding sector beampatterns formed on a time division basis. The sparse signal spectrum is reconstructed by the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -SVD (singular value decomposition) method [1], where the sparsity is enforced by the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -norm penalty. Simulation results are presented to demonstrate the efficiency of the proposed method.
Year
DOI
Venue
2015
10.1109/SPAWC.2015.7227085
2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Keywords
Field
DocType
ESPAR,compressive sensing,sparsity,DoA estimation
Singular value decomposition,Driven element,Direction of arrival,Computer science,Sparse approximation,Antenna array,Radio frequency,Electronic engineering,Signal reconstruction,Compressed sensing
Conference
ISSN
Citations 
PageRank 
1948-3244
2
0.41
References 
Authors
9
3
Name
Order
Citations
PageRank
Rongrong Qian14913.30
Mathini Sellathurai248357.03
Jonathon A. Chambers3893.28