DocumentCode :
239507
Title :
A quaternion-valued reweighted minimisation approach to sparse vector sensor array design
Author :
Hawes, Matthew B. ; Wei Liu
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2014
fDate :
20-23 Aug. 2014
Firstpage :
426
Lastpage :
430
Abstract :
In this work, the design of sparse vector sensor arrays is studied based on quaternionic formulations, which is a further extension of the recently proposed compressive sensing (CS) based design methods. As with the traditional case, sparsity of the solution can be improved by converting the problem into a series of iteratively solved reweighted minimisations, where locations with a small absolute coefficient value are more heavily penalised compared to those with a larger absolute value. Moreover, this reweighted scheme is further modified to incorporate a size constraint into the design so that practical antennas with a non-zero size can fit into the designed locations.
Keywords :
compressed sensing; minimisation; CS; coefficient value; compressive sensing; designed locations; practical antennas; quaternion valued reweighted minimisation approach; quaternionic formulations; reweighted minimisations; reweighted scheme; sparse vector sensor array design; Apertures; Arrays; Design methodology; Digital signal processing; Minimization; Quaternions; Vectors; Sparse array; compressive sensing; quaternion beamformer; reweighted l1 norm minimisation; vector sensor array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICDSP.2014.6900699
Filename :
6900699
Link To Document :
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