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Comparative Study of Accuracy of Direction of Arrival (DOA) Estimation using Genetic Algorithm and Multiple Signal Classification (MUSIC)
In this work we are involved in determining the direction of arrival estimation of the signals. For accomplishing this task, we are involved in using genetic algorithm method. Here are many methods of direction of arrival methods, such as MUSIC algorithm, Minimum Norm Method, ESPRIT. Among all the previously existing techniques, MUSIC algorithm is best method of direction arrival estimation method. But the MUSIC algorithm will take more time when compared to the genetic algorithm. If the signal is having more noise conditions, then MUSIC algorithm will not perform well when compared to the genetic algorithm. For 0db SNR, the DOA for the Genetic algorithm is 0.01 % varying but for the same SNR, in the case of MUSIC algorithm, DOS is 5% variation is observed. For a given SNR, the DOA estimated for 4 element antenna array in the case of Genetic algorithm is not observed for the MUSIC algorithm for the same signal SNR and number of antenna elements. Here a comparative study between the Genetic Algorithm and MUSIC algorithm performance is studied. The application can be included in the advanced system where a wireless device can detect the DOA very accurately without doing the more computations. The algorithms are implemented by using the MATLAB tool.
AWGN, Direction Of Arrival (DOA), ESPRIT Antenna Array, Genetic Algorithm (GA), MUSIC Algorithm, Minimum Norm Method.
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