Title: Low PRF data aided near-range clutter suppression method
Abstract: Clutter suppression for non-sidelooking airborne radar is a challenging problem due to the range-dependent clutter.A novel low pulse repetition frequency(lowPRF)data aided prefiltering algorithm in elevation for suppression of the range-dependent near-range clutter is proposed.The developed method obtains the training samples from another elevation-mainlobe-clutter-free low-PRF data,and the adaptive elevation spatial frequency compensation technique is utilized to estimate the covariance matrix.Thus,a desired elevation adaptive pattern can be obtained.Additionally,the clutter rank in elevation domain is derived to provide theoretical guidance for near-range clutter suppression.The performance of the azimuth-Doppler space-time adaptive processing(STAP)can be improved notablely,because the range independency of the training samples for azimuth-Doppler STAP is enhanced after near-range clutter suppression.Numerical examples are given to demonstrate the effecfiveness of the proposed algorithm.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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