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Convergence speed is quite important for a iterative superresolution algorithm, especially in real time processing. A vector extrapolation acceleration maximum a posteriori (VEAMAP) superresoltuion algorithm is proposed in this paper. In the algorithm a predicted point is made before initial multiplicative iteration and this can make the iterations go faster along the convergence path. As the prediction...
The spatial resolution of scanning radar in azimuth is constrained by the antenna beam width. Several superresolution approaches have been applied to scanning radars to enhance the azimuth resolution, but they suffer from limited resolution improvement. In this paper, a superresolution approach is performed by truncating the spectrum of which only low frequencies are reserved. In this way, the ill-posed...
This paper present a novel superresolution algorithm for real-beam scanning radar based on the iterative adaptive strategy. Firstly, we establish the objective function based on the minimum mean-square error (MMSE) criterion, then we build the iterative expression by update the covariance matrix. This algorithm has better superresolution performance than traditional deconvolution method. Simulation...
The angular resolution is limited by the aperture size in real beam radar. To improve the angular resolution, some deconvolution algorithms have been proposed. However, it becomes challenging to estimate the amplitude and location parameters of illuminated targets as signal-to-noise ratio decreases. Through our research, we analyze the similarities of mathematic model and physical principle between...
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