Informatics Publishing Limited

T. Pavani ¹, Rudra Pratap Das ¹, A. Naga Jyothi ¹, A. Sampath Dakshina Murthy ¹

Affiliations
1 Department of ECE, Vignan’s Institute of Information and Technology, Visakhapatnam – 530049, Andhra Pradesh, IN

Abstract

Linear and circular antenna arrays need to be properly designed for optimization of electromagnetic problem. The design parameters are decided by the specific beam width using firefly algorithm, desired radiation patterns are to be studied for the reduction of beam width and side lobe level simultaneously based on multi objective approach.PSO is used for comparison based on simulation examples. Linear antennas are designed to obtain the source locations in position only synthesis based on FA. Patterns are synthesized using circular arrays to achieve minimum side lobe load and high directivity with constraint of beam width. Performance evaluation of bat, cuckoo search algorithms is level as compared to FA. This method is extended to concentric circular arrays with dipoles as radiating elements, FA is found to be most suitable for development of linear and circular antenna arrays .Procedure of thinning helps in reducing the cost of array designs. This method will find extensive usage in design of array pattern. PSO method of comparison can be supplemented with GA for better results.

Keywords

Particle Swarm Optimization, Firefly Algorithm, Cuckoo Search Algorithms, Circular Antenna, Bat Algorithm, Sidelobe Level, Beamwidth.

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A. Sampath Dakshina Murthy ¹, T. Pavani ², K. Lakshmi ¹

Affiliations
1 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
2 Department of ECM, Vignan’s Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN

Abstract

Several mathematical models are used for tracking reentry objects in case of radar and sonar. Bayes law evaluations by Unseen Markov Mannequin is one of these which can be used with compatible Kalman filters. To reduce linearization errors, in metaheurestic methods, a new algorithm is proposed by combination of stochastic and metheuristic techniques. For determination of estimation performance, Firefly Hybrid Extended Kalman Filter has been suggested. Convergence of such systems of firefly is quite high. These are compatible with nonlinear multimodal issues. Simulations studies have been done by MATLAB. The drag resistance is found to be related not only to speed but also to maximum cross sectional errors. The minimization of errors of altitude, velocity and ballistic coefficients are taken to be random. In comparison with Extended Kalman Filter and Hybrid Extended Kalman Filter, the results show 30 to 50 percent error reduction. Combinations of metaheurestic and stochastic methods have immense possibility of development of optimization in case of tracking of reentry objects.

Keywords

Ballistic Coefficient, Extended Kalman Filter, Firefly algorithm, Hybrid Extended Kalman Filter, Metaheurestic, Reentry objects.

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