基于rd域时空数据块外推的舰载HFSWR虚拟孔径扩展方法

Youmin Qu;Xingpeng Mao;Zhibo Tang;Yiming Wang
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摘要

为了提高高频表面波雷达(HFSWR)的机动性和扩展探测范围,舰载系统已经发展成为岸基平台的替代方案。然而,舰载平台有限的空间导致雷达阵列孔径较小,从而降低了雷达的到达方向(DOA)估计性能。此外,HFSWR接收到的目标回波往往伴随着大量的强杂波。传统的基于外推的孔径扩展方法由于不能有效区分目标和杂波而失败。因此,如何扩大舰载HFSWR的孔径是一个需要解决的问题。为了克服这些挑战,我们结合HFSWR的信号处理工作流程,对传统的基于外推的孔径扩展技术进行了改进,提出了一种基于距离-多普勒域时空数据块外推(RDSDBE)的均匀线性阵列孔径扩展方法。具体而言,一方面,我们在距离-多普勒(RD)域扩展阵列孔径,以解决传统的孔径扩展方法在强杂波存在下的失效问题;另一方面,我们在时域对目标回波进行分割,以解决舰载场景中由于快照数量有限而导致的大孔径扩展误差问题。通过仿真和实验数据验证了所提出的RDSDBE方法,并对其性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Virtual Aperture Extension Method for Shipborne HFSWR Based on RD-Domain Spatiotemporal Data Block Extrapolation
To enhance the maneuverability and extend the detection range of high-frequency surface wave radar (HFSWR), shipborne systems have been developed as an alternative to shore-based platforms. However, the limited space on shipborne platforms results in a small radar array aperture, which consequently diminishes the radar’s direction-of-arrival (DOA) estimation performance. Additionally, the target echoes received by HFSWR are often accompanied by a large amount of strong clutter. Traditional extrapolation-based aperture extension methods fail because they cannot effectively distinguish between targets and clutter. Therefore, how to extend the aperture of shipborne HFSWR remains a problem to be addressed. To overcome these challenges, we improved conventional extrapolation-based aperture extension techniques by incorporating the signal processing workflow of HFSWR and proposed a novel aperture extension method for uniform linear arrays, based on range-Doppler domain spatiotemporal data block extrapolation (RDSDBE). Specifically, on the one hand, we extend the array aperture in the range-Doppler (RD) domain to address the failure of traditional aperture extension methods in the presence of strong clutter. On the other hand, we segment the target echoes in the time domain to tackle the issue of large aperture extension errors caused by the limited number of snapshots in shipborne scenarios. Through simulation and experimental data, we validated the proposed RDSDBE method and analyzed its performance.
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