ANTENNA ARRAY FAILURE CORRECTION USING IMPROVED PARTICLE SWARM OPTIMIZATION WITH WAVELET MUTATION
- Hits: 1139
Volume 2 (1), June 2019, Pages 64-74
Pallavi Mitra1, Durbadal Mandal1, Rajib Kar1, Pragnan Chakravorty2
The advent of complex engineering systems has made computation intensive design processes inevitable. Unfortunately, such processes require larger resources, i.e., larger memory, parallel processing, etc., and time than usual. As a result, the high performance issues like managing these processes to run within limited resource pools has become ever more challenging. This paper reports an application of intelligent computing in the specific area of antenna arrays and implicitly shows how a computationally intensive process can improve its performance within a limited available resource by judiciously combining different algorithms. Failures in radiating elements in an antenna array usually increase the undesired side lobe radiation, thereby distorting the original radiation pattern. Here, restoration of the original pattern has been attempted by restricting the side lobe levels (SLLs) to the desired threshold using a meta-heuristic optimization technique named Improved Particle Swarm Optimization with Wavelet Mutation (IPSOWM). Also, as a reference, the performance of this algorithm has been compared with Improved Particle Swarm Optimization (IPSO) technique. Results show that IPSOWM yields a better solution to the existing problem as compared to IPSO.
Antenna Array, Particle Swarm Optimization, Wavelet Mutation, Side Lobe Level.
 Taskin, A., & Gurel, C. S. (2003, October). Antenna array pattern optimisation in the case of array element failure. In33rd European Microwave Conference Proceedings (IEEE Cat. No. 03EX723C)(Vol. 3, pp. 1083-1085). IEEE.
 Han, J. H., Lim, S. H., & Myung, N. H. (2011). Array antenna TRM failure compensation using adaptively weighted beam pattern mask based on genetic algorithm.IEEE Antennas and Wireless Propagation Letters, 11, 18-21.
 Peters, T. J. (1991). A conjugate gradient-based algorithm to minimize the sidelobe level of planar arrays with element failures. IEEE Transactions on Antennas and Propagation, 39(10), 1497-1504.
 Wang, L. L., & Fang, D. G. (2003, October). Combination of genetic algorithm and fast Fourier transform for array failure correction. In6th International SYmposium on Antennas, Propagation and EM Theory, 2003. Proceedings. 2003 (pp. 234-237). IEEE.
 Lozano, M. V., Rodríguez, J. A., & Ares, F. (1999). Recalculating linear array antennas to compensate for failed elements while maintaining fixed nulls.Journal of electromagnetic waves and applications, 13(3), 397-412.
 Yeo, B. K., & Lu, Y. (2005, December). Adaptive array digital beamforming using complex-coded particle swarm optimization-genetic algorithm. In2005 Asia-Pacific Microwave Conference Proceedings (Vol. 2, pp. 3-pp). IEEE.
 Balanis, C. A. (2016).Antenna theory: analysis and design. John wiley & sons.
 Rodriguez, J. A., Ares, F., Moreno, E., & Franceschetti, G. (2000). Genetic algorithm procedure for linear array failure correction.Electronics Letters, 36(3), 196-198.
 Panigrahi, T., Patnaik, A., Sinha, S. N., & Christodoulou, C. G. (2008, July). Amplitude only compensation for failed antenna array using particle swarm optimization. In2008 IEEE Antennas and Propagation Society International Symposium (pp. 1-4). IEEE.
 Mandal, D., Ghoshal, S. P., & Bhattacharjee, A. K. (2013). Optimized radii and excitations with concentric circular antenna array for maximum sidelobe level reduction using wavelet mutation based particle swarm optimization techniques.Telecommunication Systems, 52(4), 2015-2025.
 Mandal, D., Bhattacharjee, A. K., & Ghoshal, S. P. (2011, February). Linear antenna array synthesis using improved Particle Swarm Optimization. In2011 Second International Conference on Emerging Applications of Information Technology (pp. 365-368). IEEE.
 Mandal, D., Sadhu, D., & Ghoshal, S. P. (2011). Thinned concentric circular array antennas synthesis using improved particle swarm optimization.ACEEE International Journal on Communication (IJCom), 2(2), 21-25.
 Mangoud, M. A. A., & Elragal, H. M. (2009). Antenna array pattern synthesis and wide null control using enhanced particle swarm optimization.Progress In Electromagnetics Research, 17, 1-14.
 Bera, R., Lanjewar, R., Mandal, D., Kar, R., & Ghoshal, S. P. (2015). Comparative study of circular and hexagonal antenna array synthesis using improved particle swarm optimization.Procedia Computer Science, 45, 651-660.
 Chakravorty, P., & Mandal, D. (2015, December). Role of boundary dynamics in improving efficiency of particle swarm optimization on antenna problems. In2015 IEEE Symposium Series on Computational Intelligence (pp. 1157-1163). IEEE.
 Chakravorty, P., & Mandal, D. (2015). Hysteretic boundary conditions for PSO of antenna array pattern synthesis.Procedia Computer Science, 45, 628-634.
 Chakravorty, P., & Mandal, D. (2015). PSO in concentric circular arrays for side lobe reduction with symmetric relocation boundary condition. InIntelligent Computing and Applications (pp. 503-509). Springer, New Delhi.
 Chakravorty, P., & Mandal, D. (2016). Radiation pattern correction in mutually coupled antenna arrays using parametric assimilation technique. IEEE Transactions on Antennas and Propagation, 64(9), 4092-4095.