Resource management of opportunistic digital array radar antenna aperture for pattern synthesis

Due to the complex time-varying environments and the unknown target information, the uncertainty of target information is introduced into the echo signal. Owing to the uncertainty of target information, the number and operating modes of antenna array elements allocated for pattern synthesis are unce...

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Veröffentlicht in:IET radar, sonar & navigation Jg. 11; H. 5; S. 829 - 837
Hauptverfasser: Han, Qinghua, Pan, Minghai, Gong, Shufeng, Long, Weijun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 01.05.2017
Schlagworte:
antenna arrays
antenna radiation patterns
complex time‐varying environments
echo
echo signal
fuzzy random chance‐constrained programming model
fuzzy set theory
genetic algorithms
hybrid intelligent optimisation algorithm
nondominated sorting genetic algorithm
NSGA_II
opportunistic digital array radar antenna aperture
pattern synthesis
radar antennas
Research Article
resource management
resource management
hybrid intelligent optimisation algorithm
radar antennas
fuzzy set theory
complex time-varying environments
echo
genetic algorithms
echo signal
opportunistic digital array radar antenna aperture
NSGA_II
pattern synthesis
antenna radiation patterns
antenna arrays
nondominated sorting genetic algorithm
fuzzy random chance-constrained programming model
ISSN:1751-8784, 1751-8792
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Beschreibung
Zusammenfassung:Due to the complex time-varying environments and the unknown target information, the uncertainty of target information is introduced into the echo signal. Owing to the uncertainty of target information, the number and operating modes of antenna array elements allocated for pattern synthesis are uncertain. Hence to reduce the influence of uncertainty of target information and save the antenna array elements, in the light of the uncertainty of the number and the distribution of the array elements in working state, a novel fuzzy random chance-constrained programming model of opportunistic digital array radar antenna aperture resource management is proposed. Moreover, this model can determine the information of radar target from the echo signal by reasonable resource management and allocation under the condition that the specified confidence levels are satisfied. Meanwhile, for solving the multi-object model, the fuzzy random simulation is integrated into fast and elitist non-dominated sorting genetic algorithm (NSGA_II) to compose a hybrid intelligent optimisation algorithm. Finally, two simulations are carried out to verify the validity of this model.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2016.0440