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

螺旋桨 无人机 无线电频率 雷达 雷达截面 拍打 工程类 计算机科学 过程(计算) 人工智能 声学 航空航天工程 海洋工程 电信 物理 生物 操作系统 遗传学
作者
Nargis Akhter,Harish Chandra Kumawat,A. Arockia Bazil Raj
出处
期刊:Journal of Circuits, Systems, and Computers [World Scientific]
卷期号:32 (08) 被引量:3
标识
DOI:10.1142/s0218126623501311
摘要

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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