An Application of Artificial Intelligence for the Joint Estimation of Amplitude and Two-Dimensional Direction of Arrival of Far Field Sources Using 2-L-Shape Array

作者: Fawad Zaman , Ijaz Mansoor Qureshi , Junaid Ali Khan , Zafar Ullah Khan

DOI: 10.1155/2013/593247

关键词:

摘要: An easy and efficient approach, based on artificial intelligence technique, is proposed to jointly estimate the amplitude, elevation, azimuth angles of far field sources impinging 2-L-shape array. In these techniques, metaheuristics genetic algorithm simulated annealing are used as global optimizers assisted with rapid local version pattern search for optimization adaptive parameters. The performance metric employed a fitness evaluation function depending mean square error which optimum requires single snapshot converge. approaches understand, simple implement; specifically hybridized generates fairly good results. comparison given schemes carried out 1-L-shape array, well as, parallel-shape array found be in agreement terms accuracy, convergence rate, computational complexity, error. effectiveness efficiency examined through Monte Carlo simulations their inclusive statistical analysis.

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