Development of RF-Photonic System for Automatic Targets' Nonlinear Rotational/Flapping/Gliding Signatures Imaging Applications

N. Akhter, H. Kumawat, A. A. B. Raj
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引用次数: 1

Abstract

Nowadays, developing the radio frequency (RF)-photonic sensors suitable for several Defence and civil applications is emerging due to its various unique advantages. In today’s scientific world, the involvement of low radar cross-section (RCS) airspace targets, such as unman aerial vehicles, drones, mini-helicopters, ornithopters, bionic birds, etc., is more for the purpose of airspace traffic management/guidance, materials delivery, legal/illegal surveillance and Defence/offense applications. The detection and recognition of such targets using the conventional RF sensors (which process only the main Doppler) is almost impossible. Therefore, extracting the distinctive micro-Doppler (m-D) signatures of these low-RCS targets and using them to image/differentiate/recognize their postures become significant which is the main contribution in this paper. A C-band continuous wave RF-photonic sensor is developed and different low-RCS targets: 2/3 blades rotating propeller system (drones), cone like structure (warhead) and a bionic-bird (spy-bird); are operated in front of it. The different nonlinear postures, of these targets, covered in our experimental measurements are m-D extraction of a slowly moving propeller system, detection of back-and-forth movements of a rotational propeller system, discerning the moving and static rotational propeller systems, simultaneous extraction of m-D signatures of a rotational and moving targets and recognition of flapping/gliding motions of bionic-bird. The analysis and recognition of all these postures using the experimentally generated m-D signatures are described.
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用于自动目标非线性旋转/扑动/滑动特征成像的射频光子系统的研制
目前,射频光子传感器由于其各种独特的优点,在国防和民用领域得到了广泛的应用。在当今的科学世界中,低雷达截面(RCS)空域目标的参与,如无人机,无人机,微型直升机,扑翼机,仿生鸟等,更多的是为了空域交通管理/制导,材料交付,合法/非法监视和防御/进攻应用。使用传统的射频传感器(仅处理主多普勒)几乎不可能探测和识别这些目标。因此,提取这些低rcs目标的特征微多普勒(m-D)特征并利用其成像/区分/识别其姿态具有重要意义,这是本文的主要贡献。研制了一种c波段连续波射频光子传感器,针对不同的低rcs目标:2/3叶片旋转螺旋桨系统(无人机)、锥形结构(弹头)和仿生鸟(间谍鸟);在它前面操作。我们的实验测量涵盖了这些目标的不同非线性姿态,包括缓慢移动螺旋桨系统的m-D提取,旋转螺旋桨系统前后运动的检测,识别运动和静态旋转螺旋桨系统,旋转和运动目标的m-D特征同时提取以及仿生鸟的拍打/滑翔运动的识别。描述了使用实验生成的m-D特征对所有这些姿势的分析和识别。
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