Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs
2023 IEEE RADAR CONFERENCE, RADARCONF23(2023)
摘要
Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.
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关键词
Iterative adaptive approach,Keystone transform,range-Doppler imaging,sidelobe suppression,radar
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