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| Citation: | Yang Yunlong, Mao Xingpeng, Dong Yingning, Deng Weibo. Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR[J]. Journal of Radars, 2016, 5(6): 673-680. doi: 10.12000/JR16024
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Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR
DOI: 10.12000/JR16024
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Abstract
High Frequency Surface Wave Radar (HFSWR) is able to receive surface target and low-flying aircraft echoes at a long-distance, but it suffers severely from ionospheric clutter.In this paper, a spacepolarization collaborative-based filter is introduced to mitigate ionospheric clutter.For parameter estimation on ionospheric clutter used for filters, a spatial parameter estimation algorithm based on compressive sensing is introduced to the DOA estimation of ionospheric clutter.In addition, a polarized parameter estimation algorithm based on statistical characteristics is proposed for ionospheric clutter in the range-Doppler spectrum.Higher estimation accuracy is achieved as a result of the range-Doppler spectrum;therefore, these two estimation algorithms enhance the performance of the space-polarization collaborative suppression method for ionospheric clutter.Experimental results of practical dual-polarized HFSWR data show the effectiveness of the two algorithms and the above mentioned filter for ionospheric clutter suppression. -
References
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JIN Yaqiu. Multimode remote sensing intelligent information and target recognition: Physical intelligence of microwave vision[J]. Journal of Radars, 2019, 8(6): 710–716. doi: 10.12000/JR19083
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