Polarization Decomposition Algorithm for Detection Efficiency Enhancement
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Date
2013-12
Authors
Zhang, Chao-Zhu
Zhang, Jing
Liu, Cheng-Yuan
Li, Lin
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
In the paper, a new polarization decomposition of the optimal detection algorithm in the partially homogeneous environment is presented. Firstly, the detectors Matched Subspace Detector (MSD) and Adaptive Subspace Detector (ASD) are adopted to deal with detection problems in the partially homogeneous environment. Secondly, the fitness function with polarization parameters is equivalently decomposed to enhance time detection efficiency in the algorithm. It makes the multiplication number of the fitness function from square to a linear increase along with the increase in parameters. Simulation results indicate that the proposed decomposition is much more efficient than direct use of the fitness function.
Description
Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1041-1047. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1041_1047.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1041_1047.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en