Combination of the biologically inspired coupled system and high-frequency surface wave radar at signal level

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Hongbo Li, Aijun Liu, Qiang Yang, Changjun Yu, Zhe Lyv
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Abstract

Virtual aperture extension of small aperture array has attracted wide attention in high-frequency surface wave radar (HFSWR). A biologically inspired coupled (BIC) system is employed to virtually extend the array aperture. However, the existing researches on BIC only consider the array signal processing model and do not combine it with actual radar signal principle. To indeed apply the BIC system to HFSWR, two detailed methods which combine the BIC and HFSWR at signal level are proposed. A three-dimensional signal model of HFSWR considering array processing was established and the entire signal processing was derived. Then, two combination methods, namely fast-time domain (FTD)-BIC and slow-time domain (STD)-BIC are proposed. The former implements the BIC before fast-time processing, while the latter implements the BIC before slow-time processing. The authors demonstrate that they can virtually extend the array aperture without affecting the target detection. Meanwhile, their capabilities in multi-target scenarios are analysed and satisfactory conclusions are obtained. By numerical simulations and experiments, the array aperture and range-Doppler (RD) spectrum of the standard HFSWR and BIC-HFSWR are compared. The results show that while the performance of their RD spectrum is almost the same, BIC-HFSWR has an enlarged virtual aperture than standard HFSWR.

Abstract Image

信号级生物灵感耦合系统与高频表面波雷达的结合
小孔径阵列的虚拟孔径扩展在高频面波雷达(HFSWR)中引起了广泛关注。生物启发耦合(BIC)系统被用来虚拟扩展阵列孔径。然而,现有的 BIC 研究仅考虑了阵列信号处理模型,并未将其与实际雷达信号原理相结合。为了将 BIC 系统真正应用于 HFSWR,本文提出了两种在信号层面将 BIC 和 HFSWR 结合起来的详细方法。建立了考虑阵列处理的 HFSWR 三维信号模型,并推导出整个信号处理过程。然后,提出了两种组合方法,即快时域(FTD)-BIC 和慢时域(STD)-BIC。前者在快时处理之前实现 BIC,后者在慢时处理之前实现 BIC。作者证明,它们可以在不影响目标探测的情况下扩展阵列孔径。同时,还分析了它们在多目标情况下的能力,并得出了令人满意的结论。通过数值模拟和实验,比较了标准 HFSWR 和 BIC-HFSWR 的阵列孔径和测距-多普勒(RD)频谱。结果表明,虽然它们的 RD 频谱性能几乎相同,但 BIC-HFSWR 比标准 HFSWR 的虚拟孔径更大。
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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