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- W2377774411 abstract "The problem of cognitive radar tracking in the signal-dependent clutter and multi-target environment is considered.The framework of cognitive radar tracking which has the iterative cycle structure is proposed based on Bayesian idea.In this framework,the tracking of multiple targets is implemented by Kalman filter,and the tracking performance is improved by waveform optimization.For improving the tracking performance,three waveforms are designed based on the measurement noise optimization,signal-to-interference-and-noise rate optimization and state update error optimization respectively.The simulation results indicate that the multiple targets are tracking precisely by the proposed framework,and the tracking performance of these designed waveforms are better than that of fixed waveform which is used widely in traditional radar." @default.
- W2377774411 created "2016-06-24" @default.
- W2377774411 creator A5027501725 @default.
- W2377774411 date "2013-01-01" @default.
- W2377774411 modified "2023-09-23" @default.
- W2377774411 title "Multiple extended targets tracking for cognitive radar in the presence of signal-dependent clutter" @default.
- W2377774411 hasPublicationYear "2013" @default.
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