Memetic Algorithms for Multiple Interference Cancellations of Linear Array Based on Phase-Amplitude Perturbations

• Published in: Journal of optimization theory and applications Vol. 144; no. 3; pp. 629 - 642
• Main Authors: Hsu, C. H., Shyr, W. J., Kuo, K. H., Chou, P. H., Wu, M. J.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.03.2010; Springer; Springer Nature B.V
• Subjects: Algorithms; Antennas; Applications of Mathematics; Applied sciences; Calculus of Variations and Optimal Control; Optimization; Communication; Education; Engineering; Exact sciences and technology; Genetic algorithms; Mathematical programming; Mathematics; Mathematics and Statistics; Noise; Operational research and scientific management; Operational research. Management science; Operations Research/Decision Theory; Optimization; Optimization techniques; Radiation; Signal processing; Studies; Theory of Computation; Memetic algorithms; Phase and amplitude perturbations; Linear arrays; Multiple interferences cancellations; Memetic algorithm; Adaptive array; Antenna array; Adaptive method; Optimization
• ISSN: 0022-3239; 1573-2878
• DOI: 10.1007/s10957-009-9577-5

A novel method based on the memetic algorithm for the design of multiple interference cancellations of a linear array antenna by phase-amplitude perturbations is proposed. The adaptive array antenna is capable of sensing the presence of interference sources and suppressing the interferences in the interfering directions. This technique can increase the signal-to-interference ratio. The memetic algorithm is applied to find the weighting vector which makes the pattern nulling optimization of the proposed adaptive antenna. This technique is also able to do the cancellation of multiple interferences for different incident directions.