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- W2400422629 abstract "Based on weighted signal covariance (WSC) matrix and maximum likelihood (ML) estimation, a directionof-arrival (DOA) estimation method of multiple moving targets is designed and named as WSC-ML in the presence of impulse noise. In order to overcome the shortcoming of the multidimensional search cost of maximum likelihood estimation, a novel continuous quantum particle swarm optimization (QPSO) is proposed for this continuous optimization problem. And a tracking method of multiple moving targets in impulsive noise environment is proposed and named as QPSO-WSC-ML. Later, we make use of rank-one updating to update the weighted signal covariance matrix of WSC-ML. Simulation results illustrate the proposed QPSO-WSC-ML method is efficient and robust for the direction tracking of multiple moving targets in the presence of impulse noise." @default.
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- W2400422629 date "2016-01-01" @default.
- W2400422629 modified "2023-09-26" @default.
- W2400422629 title "Direction Tracking of Multiple Moving Targets Using Quantum Particle Swarm Optimization" @default.
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- W2400422629 doi "https://doi.org/10.1051/matecconf/20165907002" @default.
- W2400422629 hasPublicationYear "2016" @default.
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