An innovative moving target detection approach termed as Beam-Doppler Image Feature Recognition (BDIFR) is introduced based on the distinction between moving target and ground clutter features in the beam-Doppler domain. A novel minimum-distance-based region-growing method is developed for radar target feature extraction and detection. The proposed BDIFR algorithm is advantageous over conventional space-time adaptive processing in detecting ground moving targets in inhomogeneous clutter environments since it does not require secondary training data for clutter estimation.
Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition
IEEE Transactions on Aerospace and Electronic Systems ; 54 , 5 ; 2329-2341
2018-10-01
2433350 byte
Article (Journal)
Electronic Resource
English
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