Space-polarization Collaborative Suppression Method for Ionospheric Clutter in HFSWR
Yang Yunlong① Mao Xingpeng*①② Dong Yingning①② Deng Weibo①②
①(School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China) ②(Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology, Harbin 150001, China)
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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2016, Vol. 5 
