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• W2528223555 abstract "ABSTRACTGenetic algorithm (GA)-based direction of arrival (DOA) estimation is proposed using fourth-order cumulants (FOC) and ESPRIT principle which results in Multiple Invariance Cumulant ESPRIT algorithm. In the existing FOC ESPRIT formulations, only one invariance is utilised to estimate DOAs. The unused multiple invariances (MIs) must be exploited simultaneously in order to improve the estimation accuracy. In this paper, a fitness function based on a carefully designed cumulant matrix is developed which incorporates MIs present in the sensor array. Better DOA estimation can be achieved by minimising this fitness function. Moreover, the effectiveness of Newton’s method as well as GA for this optimisation problem has been illustrated. Simulation results show that the proposed algorithm provides improved estimation accuracy compared to existing algorithms, especially in the case of low SNR, less number of snapshots, closely spaced sources and high signal and noise correlation. Moreover, it is observed th..." @default.
• W2528223555 created "2016-10-14" @default.
• W2528223555 creator A5059594951 @default.
• W2528223555 creator A5076915252 @default.
• W2528223555 date "2016-10-24" @default.
• W2528223555 modified "2023-09-26" @default.
• W2528223555 title "Genetic algorithm-based improved DOA estimation using fourth-order cumulants" @default.
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• W2528223555 doi "https://doi.org/10.1080/00207217.2016.1244862" @default.
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