Authors: Biao Zhang; Yiming Pi
Addresses: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China ' School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Abstract: A three dimensional (3D) imaging method which is a complex-valued generalised Radon transform (CGRT)-CLEAN algorithm for circular radar sensor networks (CRSN) is proposed in this paper. Based on the analysis of CRSN echo model, the echo of a scatterer in the range-azimuth domain can be modelled as a single cycle sinusoid. Inspired by the generalised Radon transform, this paper utilises the CGRT to estimate for scatterers' positions. Then, combining the CGRT with CLEAN technique, the parameters of a scatterer which include position information and reflection coefficient can be obtained. Thus, a 3D image of a target can also be reconstructed. Comparing with other algorithms, the outstanding characteristic of the proposed algorithm is that there is no need to analyse azimuth spectrum to achieve a 3D imaging. The performances of the CGRT-CLEAN method have been verified by simulations, and the results confirm the effectiveness of the proposed algorithm for processing CRSN data.
Keywords: CRSN; circular radar sensor networks; CSAR; circular synthetic aperture radar; CGRT; complex-valued generalised radon transform; CGRT-CLEAN; 3D imaging; modelling; position information; reflection coefficient; simulation.
International Journal of Sensor Networks, 2013 Vol.13 No.4, pp.199 - 207
Published online: 30 Jul 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article