基于频率分集的 OAM 模式复用单脉冲电磁涡流成像方法

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-10-10 DOI:10.1109/JSEN.2024.3473949
Zhengkuan Tan;Kang Liu;Hongyan Liu;Yang Yang;Yongqiang Cheng
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引用次数: 0

摘要

近年来,电磁涡流成像已成为雷达超分辨率成像领域的一项新技术。这种方法与传统方法的根本区别在于目标和平台之间的相对横向运动。虽然可以实现超分辨率方位成像,但不同的轨道角动量(OAM)模式应调制在不同的信号脉冲中。相比之下,本文提出了一种新的 OAM 调制和单脉冲成像方法,即在一个脉冲中复用基于频率分集的 OAM 模式,可大大提高成像效率。通过在均匀环形频率分集阵列(UC-FDA)的元件之间引入微小的频率偏移,产生 OAM 复用波束。随后,建立了相干 UC-FDA 的电磁涡成像模型,并提出了成像方法。得出了空间方位角分辨率和效率的理论性能分析。最后,研究结果表明,即使只传输一个脉冲,所提出的方法也能表现出与传统电磁涡成像方法相当的成像性能。
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Monopulse Electromagnetic Vortex Imaging Method by Multiplexing OAM Modes Based on Frequency Diversity
In recent years, electromagnetic (EM) vortex imaging has emerged as a novel technique in the field of radar super-resolution imaging. This approach fundamentally differs from conventional methods by the relative lateral motion between the target and the platform. Although super-resolution azimuthal imaging can be achieved, different orbital angular momentum (OAM) modes should be modulated in different signal pulses. In contrast, a new OAM modulation and monopulse imaging method is proposed in this article, which involves multiplexing OAM modes based on frequency diversity in one pulse and can considerably improve imaging efficiency. By introducing tiny frequency offsets among the elements of a uniform circular frequency diverse array (UC-FDA), the OAM multiplexing beams are generated. Subsequently, the EM vortex imaging model for the coherent UC-FDA is established, and the imaging method is proposed. The theoretical performance analyses of spatial azimuthal resolution and efficiency are derived. Finally, the results demonstrate that the proposed method exhibits comparable imaging performance to the conventional EM vortex imaging method, even when only a single pulse is transmitted.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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