DocumentCode :
2742403
Title :
A cognitive approach for ambiguity function shaping
Author :
Aubry, A. ; De Maio, A. ; Jiang, B. ; Zhang, S.
Author_Institution :
DIBET, Univ. degli Studi di Napoli Federico II, Naples, Italy
fYear :
2012
fDate :
17-20 June 2012
Firstpage :
41
Lastpage :
44
Abstract :
In this paper, we propose a cognitive approach to design phase-only modulated waveforms sharing a desired ambiguity function. We formulate the problem as a quartic order polynomial optimization problem with a constant modulus constraint on each variable. Thus, we devise an optimization procedure based on the Maximum Block Improvement (MBI) approach. At the analysis stage, we assess the performance of the proposed technique showing its capability to properly shape the ambiguity function of the transmitted waveform.
Keywords :
optimisation; phase modulation; polynomials; radar theory; MBI approach; ambiguity function shaping; cognitive approach; constant modulus constraint; maximum block improvement approach; phase-only modulated waveform design; quartic order polynomial optimization problem; radar waveforms; Algorithm design and analysis; Doppler effect; Optimization; Polynomials; Radar; Signal processing algorithms; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
ISSN :
1551-2282
Print_ISBN :
978-1-4673-1070-3
Type :
conf
DOI :
10.1109/SAM.2012.6250527
Filename :
6250527
Link To Document :
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