Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR

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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.

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	Articles by authors
	Yang Yunlong
	Mao Xingpeng
	Dong Yingning
	Deng Weibo

Key words： High frequency radar Ionospheric clutter Parameter estimation Space-polarization collaborative filter

Received: 2016-01-28; Published: 2016-06-27

Fund:

The National Natural Science Foundation of China (61171180),Fundamental Research Funds for the CentralUniversities (HIT.MKSTISP.2016 26)

Corresponding Authors: TN95
E-mail: mxp@hit.edu.cn

Cite this article:

Yang Yunlong,Mao Xingpeng,Dong Yingning et al. Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR[J]. JOURNAL OF RADARS, 2016, 5(6): 673-680.

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