DSP Implementation of the Particle Swarm and Genetic Algorithms for Real-Time Design of Thinned Array Antennas

Author

Cao, Damin ; Modiri, Arezoo ; Sureka, Gaurav ; Kiasaleh, Kamran

Author_Institution

Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA

Volume

11

fYear

2012

fDate

7/4/1905 12:00:00 AM

Firstpage

1170

Lastpage

1173

Abstract

Efficient implementation of sophisticated algorithms on digital signal processing (DSP) chips is a key issue in the implementation of software-defined radios. Here, focusing on beamforming and using the average calculation time and hardware usage as the two indicators of efficiency, a performance comparison between two versions of binary particle swarm optimization (PSO) and genetic algorithm, as the two popular evolutionary techniques, is presented. Using our proposed multirun strategy in DSP platforms, we show that modified PSO results in a reduction by 52% and 67% in the hardware utilization and calculation time as compared to genetic algorithm and binary PSO, respectively.

Keywords

antenna arrays; digital signal processing chips; genetic algorithms; particle swarm optimisation; software radio; DSP chips; DSP implementation; binary particle swarm optimization; digital signal processing; evolutionary techniques; genetic algorithm; multirun strategy; real-time design; software-defined radios; thinned array antennas; Algorithm design and analysis; Antenna arrays; Arrays; Digital signal processing; Genetic algorithms; Particle swarm optimization; Signal processing algorithms; Binary particle swarm optimization (BPSO); evolutionary algorithm; genetic algorithm (GA); thinned array antenna (TAA);

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2012.2220514

Filename

6317130