A Survey On Fault Finding Soft Computing Techniques In Antenna Array
Sunita Rani, Singh Jagtar · i-manager’s Journal on Electronics Engineering · 2021
Antenna arrays consist of more than one patch element and are used in various wireless applications. If a single patch element is defective then degraded radiation pattern is obtained which affect the performance of an antenna array. So it has become a critical issue to detect faulty patch in antenna array. In this paper ANN and FFT based approach has been used to detect number and position of defective patch in designed arrays. Several optimization methods have been applied to detect partial and complete fault in linear and planar antenna arrays. These techniques include Firefly Algorithm (FA), BAT Algorithm, Bacteria Foraging Optimization (BFO) and Cuckoo Search Algorithm (CSA). A cost function has been developed for error between faulty power patterns and estimated one. Minimum value of this cost function will detect the location of defective patch in array. A virtual instrument based model had also been developed for fault analysis in a fractal array.