Comparison of Genetic Algorithm and Particle Swarm Optimization for Pattern Recovery in Failed Antenna Arrays
Rashwinder Singh1, Danvir Mandal2

1Rashwinder Singh, Department of EEE, IET Bhaddal Technical Campus, Ropar (Punjab), India.
2Danvir Mandal, Department of ECE, IET Bhaddal Technical Campus, Ropar (Punjab), India.
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 64-68 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1389123713/13©BEIESP
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Abstract: In an active antenna array, when a few radiating elements doesn’t work due to some problem. Then the entire radiation pattern gets distorted, mostly due to increased SLL. In this paper, Genetic Algorithm is implemented and compared with Particle Swarm Optimization for linear array synthesis for far field side lobe notch using amplitude only to get the desired radiation pattern with specified SLL. Genetic Algorithm gives optimal solution of the problem than PSO. Numerical results are presented to show the effectiveness of both optimization techniques.
Keywords: Array Antenna, Beam Pattern Resynthesis, Transmitter/Receiver Module (TRM), Failure Compensation, Genetic Algorithm(GA),Particle Swarm Optimization (PSO), Beam Width First Null (BWFN) And Side Lobe Level (SLL).

Scope of the Article: Microstrip Antenna Design and Application