EAS Anti-Interference Technique Based on Time-Frequency 2-D Randomized Waveform Design

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xin Xi;Yanbin Zhang;Rui Li;Fasong Wang;Shijie Shi;Yitong Li
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引用次数: 0

Abstract

Electronic article surveillance (EAS) is an anti-theft method that utilizes electronic technology to effectively reduce merchandize theft in open shopping environments. In large supermarkets and similar venues, the presence of numerous EAS devices can increase the likelihood of mutual interference between devices, resulting in a higher rate of false alarms. Interference-resistant waveform design is one of the key techniques for combating interference in EAS devices. This article analyzes the principle of interference generation based on EAS, proposes a waveform design using time-frequency 2-D randomization for interference resistance, derives and establishes a probability model, and conducts the simulation verification and the test of hardware platform. The results indicate that the time-frequency 2-D randomization method can effectively reduce interference between EAS devices.
基于时频二维随机波形设计的EAS抗干扰技术
电子物品监控(Electronic article surveillance, EAS)是一种利用电子技术有效减少开放式购物环境中商品被盗的防盗手段。在大型超市和类似场所,大量EAS设备的存在会增加设备之间相互干扰的可能性,从而导致更高的误报率。抗干扰波形设计是EAS器件抗干扰的关键技术之一。本文分析了基于EAS的干扰产生原理,提出了一种采用时频二维随机化的抗干扰波形设计,推导并建立了概率模型,并进行了仿真验证和硬件平台测试。结果表明,时频二维随机化方法可以有效降低EAS器件之间的干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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