A space-polarization collaborative algorithm for HFSWR

Yunlong Yang, X. Mao, Chunlei Zhao
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Abstract

For the high frequency surface wave radar (HFSWR), the presence of ionospheric clutter seriously degrades its capability of receiving target echoes. Thus various ionospheric clutter mitigation methods are investigated based on space domain. However, the gains of antennas in vertical incidence can lead to channel amplitude inconsistency, which can degrade the performances of aforementioned space-domain-based methods. To solve this problem, a polarimetric-adaptive-based space-polarization collaborative algorithm (PAB-SPCA) is proposed by exploiting polarization domain, and enhances performance of ionospheric clutter suppression in the space-polarization domain. Experimental results show that the proposed algorithm is effective for channel amplitude consistency and provides superior suppression performance.
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一种用于HFSWR的空间极化协同算法
对于高频表面波雷达(HFSWR)来说,电离层杂波的存在严重降低了其接收目标回波的能力。因此,研究了基于空间域的各种电离层杂波抑制方法。然而,天线在垂直方向上的增益会导致信道幅度不一致,从而降低上述空域方法的性能。为了解决这一问题,利用极化域,提出了一种基于极化自适应的空间极化协同算法(paba - spca),提高了空间极化域电离层杂波抑制性能。实验结果表明,该算法对信道幅度一致性有较好的抑制效果。
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