Parameter estimation of 2-D cubic phase signal using cubic phase function with genetic algorithm

• DOI: 10.1016/j.sigpro.2010.03.020
• Publication Date: 2010-03-22T08:21:03Z
• Authors: Igor Djurović; Pu Wang; Cornel Ioana
• Keywords: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; 004

This paper presents a generalization of cubic phase function (CPF) for two-dimensional (2-D) cubic phase polynomial phase signals (PPS). Since a straightforward application of the CPF to the 2-D PPS leads to a demanding three-dimensional (3-D) search an efficient implementation is proposed by using genetic algorithms. Simulation results demonstrate that the proposed approach outperforms the classical Francos-Friedlander technique in terms of lower SNR threshold.