Angular superresolution for real beam radar with iterative adaptive approach

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Abstract
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 array processing and real beam imaging, then in this paper we will show how the iterative adaptive approach (IAA), a spectral estimation method, can be applied to real beam radar for superresolution. The simulation results of real beam radar will be presented to demonstrate the performance of IAA.