Imperial College London
Alternate

ProfessorAthanassiosManikas

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Communications and Array Processing
 
 
 
//

Contact

 

+44 (0)20 7594 6266a.manikas Website

 
 
//

Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
//

Location

 

801Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Mak:2015:10.1109/JSTSP.2015.2465308,
author = {Mak, K and Manikas, A},
doi = {10.1109/JSTSP.2015.2465308},
journal = {IEEE Journal of Selected Topics in Signal Processing},
pages = {1548--1559},
title = {A superresolution wide null beamformer for undersampled signal reconstruction in SIMO SAR},
url = {http://dx.doi.org/10.1109/JSTSP.2015.2465308},
volume = {9},
year = {2015}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With single-input single-output (SISO) SAR systems, employing a single transmitter and receiver beam, there exists ahigh resolution, wide swath contradiction. However, by using multiple receiver beams and employing array processing techniques, this contradiction can be overcome, allowing greater flexibility anda wider range of application requirements to be met. In this paper the use of single-input multiple-output (SIMO) SAR systems forovercoming this contradiction is of interest, and a novel beam-former is proposed for processing in the cross-range direction. Inorder to fully describe the system, the array manifold vector is utilized, which is a key concept in the design of the beamformer. In particular, this beamformer is a superresolution beamformer ca-pable of forming wide nulls using subspace based approaches andallows the suppression of ambiguities in multiple sets of received under sampled SAR data in the cross-range direction and reconstruction of the Doppler spectrum to form a single unambiguous set of SAR data. Compared to the existing reconstruction algorithm, only a single weighting vector is required for a block of ambiguous Doppler frequencies compared to a weight vector requiredfor each ambiguous Doppler frequency. The capabilities of the proposed beamformer are shown to give an improved performance inambiguity suppression via computer simulation studies in a representative maritime environment.
AU  - Mak,K
AU  - Manikas,A
DO  - 10.1109/JSTSP.2015.2465308
EP  - 1559
PY  - 2015///
SN  - 1932-4553
SP  - 1548
TI  - A superresolution wide null beamformer for undersampled signal reconstruction in SIMO SAR
T2  - IEEE Journal of Selected Topics in Signal Processing
UR  - http://dx.doi.org/10.1109/JSTSP.2015.2465308
UR  - https://ieeexplore.ieee.org/document/7181634
UR  - http://hdl.handle.net/10044/1/25573
VL  - 9
ER  -
Download