Development of dual leaky coaxial cable for intruder detection sensor

Tsujita, Wataru; Inomata, Kenji; Hirai, Takashi

doi:10.1109/ths.2013.6698987

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Intrusion detection sensor based on leaky coaxial cables (LCXs) [9]- [11] can solve the aforementioned problems well. It uses a pair of LCXs to transmit and receive electromagnetic waves.…”

Section: Introductionmentioning

confidence: 99%

A LCX-Based Intrusion-Detection Sensor Using a Broadband Noise Signal

Xie

Zhang

et al. 2019

IEEE Access

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An intrusion detection sensor system based on a broadband noise signal and two leaky coaxial cables (LCXs) is proposed and experimentally demonstrated. In the proposed sensor, the broadband noise signal is generated by our designed white noise generator used as the detection signal. The detection signal is transmitted and received by two parallel LCXs, forming an invisible electromagnetic monitoring field around the protected area. The intrusion distance along the LCXs can be accurately extracted by the correlation method and the difference between pre-and post-intrusion correlation curves. Experimental results demonstrate the proposed sensor can monitor the intrusion process and locate multiple intruders. The range resolution of 30 cm and the dynamic range of 30 dB can be achieved. Furthermore, the proposed sensor has the strong anti-radio frequency interference (anti-RFI) capability, which makes it very suitable in the complex RF environment. INDEX TERMS Intrusion detection sensor, noise signal, leaky coaxial cable (LCX).

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“…Intrusion detection sensor based on leaky coaxial cables (LCXs) [9]- [11] can solve the aforementioned problems well. It uses a pair of LCXs to transmit and receive electromagnetic waves.…”

Section: Introductionmentioning

confidence: 99%

A LCX-Based Intrusion-Detection Sensor Using a Broadband Noise Signal

Xie

Zhang

et al. 2019

IEEE Access

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“…The first category includes acoustic/sound/vibration sensors such as geophones (Katsarakis et al, 2014(Katsarakis et al, , 2016Honey, 2003). The second category includes presence/ proximity sensors or radars such as passive infrared, ultrasonic, microwave or even fence (i.e., tense, spring and other mass stimuli) sensor (Honey, 2003;Araújo et al, 2015;Saipulla et al, 2010;Tsujita et al, 2013;Jisha et al, 2010). The third category is based on the intruder movement and including speed and direction of the subject (Suthaharan and Bandari, 2012).…”

Section: Introductionmentioning

confidence: 99%

A novel modular wireless sensor networks approach for security applications

Mouroutsos

Charalampidou

Pavlidis

2017

IJSN

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Nowadays surveillance systems are becoming increasingly complex by combining a variety of sensors and systems in order to deliver more accurate decisions. This is due to the fact that the development of a simple and yet efficient algorithm for intruder detection is of a high interest both to academia and the market. This paper presents a novel approach towards the development of a sophisticated decision-making system for accurate intrusion detection. The method is based on three key elements: the assessment of the certainty of the inputs, the quantisation of the inputs using the three-valued logic and the time-based filtering of the sequence of alarms. The algorithm was applied to a wireless sensor network (WSN) that is used for intruder detection of an open area. The overall setup, the theoretical analysis and preliminary evaluation results of the proposed method show that this is an interesting and rather promising approach.

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Leaky Cable Perimeter Intrusion Detection Based on Deep Reinforcement Learning

Ye,

Lv,

et al. 2024

IEEE Internet Things J.

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Development of dual leaky coaxial cable for intruder detection sensor

Cited by 4 publications

References 8 publications

A LCX-Based Intrusion-Detection Sensor Using a Broadband Noise Signal

A LCX-Based Intrusion-Detection Sensor Using a Broadband Noise Signal

A novel modular wireless sensor networks approach for security applications

Leaky Cable Perimeter Intrusion Detection Based on Deep Reinforcement Learning

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