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Concentrating on the issue that the systematic error caused by variation of illumination conditions and sensor noise leads to poor robustness and low accuracy of optical flow calculation, based on the wavelet multi-resolution theory, a robust optical flow estimation method is developed in this paper. With the multi-resolution characteristics of wavelet, the systematic error is incorporated into the...
In this paper, we address the problem of robust waveform optimization with imperfect clutter prior knowledge to improve the worst-case detection performance of multi-input multi-output (MIMO) space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) for maximizing the worst-case output...
In this paper, we consider the robust waveform optimization to improve the worst-case detection performance over a convex uncertainty model. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) for maximizing the worst-case output signal-interference-noise-ratio (SINR) such that the worst-case detection performance can be improved. Each iteration step in the proposed...
In this paper, we consider the robust waveform optimization to improve the worst-case performance of parameter estimation over a convex uncertainty model. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) such that the worst-case performance can be improved. Each iteration step in the proposed algorithm can be reformulated as a semidefinite programming (SDP) problem...
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