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, S. Koteswara Rao ², A. Naga Jyothi ¹, Rudra Pratap Das ¹

Affiliations
1 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam – 531162, Andhra Pradesh, IN
2 Department of ECE, K. L. University, Vaddeswaram, Guntur District – 522502, Andhra Pradesh, IN

Abstract

In one dimensional vertical motion in the case of tracking a target, many types of filters included Kalman varieties have been used so far. This paper is presenting a new approach of inverse ballistic coefficient included in the target state vector for reducing the convergence time. For analysis, estimation of object’s altitude and velocity is done by simulation based on noisy error environment measurements. The important of beta (ballistic coefficient) for non linear studies on extended Kalman filter has been established with proper evidence. This work can be further extended to consider the effect of hang off errors and air drag.

Keywords

Air Drag, Altitude, Beta Coefficient, Extended Kalman Filter, Hang Off Error, Inverse Beta, Velocity

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