A High-Resolution Leaky Coaxial Cable Sensor Using a Wideband Chaotic Signal

Xu, Hang; Qiao, Jianmin; Zhang, Jianguo; Han, Hong; Li, Jingxia; Liu, Li; Wang, Bingjie

doi:10.3390/s18124154

Cited by 13 publications

(7 citation statements)

References 36 publications

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“…The specific measurement principle is referred to the LCX sensor with chaotic signal in Ref. [35]. As shown in Figure 6, two LCXs are placed parallel to each other for transmitting the detection signal D(t) and receiving the echo signal E(t).…”

Section: Early Alarmmentioning

confidence: 99%

A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals

et al. 2022

Sensors

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In order to prevent illegal intrusion, theft, and destruction, important places require stable and reliable human intrusion detection technology to maintain security. In this paper, a combined sensing system using anti-jamming random code signals is proposed and demonstrated experimentally to detect the human intruder in the protected area. This sensing system combines the leaky coaxial cable (LCX) sensor and the single-transmitter-double-receivers (STDR) radar sensor. They transmit the orthogonal physical random code signals generated by Boolean chaos as the detection signals. The LCX sensor realizes the early intrusion alarm at the protected area boundary by comparing the correlation traces before and after intrusion. Meanwhile, the STDR radar sensor is used to track the intruder’s moving path inside the protected area by correlation ranging and ellipse positioning, as well as recognizing intruder’s activities by time-frequency analysis, feature extraction, and support vector machine. The experimental results demonstrate that this combined sensing system not only realizes the early alarm and path tracking for the intruder with the 13 cm positioning accuracy, but also recognizes the intruder’s eight activities including squatting, picking up, jumping, waving, walking forward, running forward, walking backward, and running backward with 98.75% average accuracy. Benefiting from the natural randomness and auto-correlation of random code signal, the proposed sensing system is also proved to have a large anti-jamming tolerance of 27.6 dB, which can be used in the complex electromagnetic environment.

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Section: Early Alarmmentioning

confidence: 99%

A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals

et al. 2022

Sensors

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“…Liu [5] designed a railway foreign object intrusion detection system utilizing fiber Bragg grating stress sensors instead of traditional electrical sensors for the sensing module in railway foreign object intrusion monitoring. Xu et al [6] devised a system that utilizes broadband Boolean chaotic signals for detection, employing a pair of leaky coaxial cables (LCX) to transmit the detection signal and receive the echo signal. Through comparison of the chaotic echo signal with its delayed repetition signal and analysis of the correlation trajectories before and after an intrusion, they introduced a foreign object intrusion detection system relying on leaky coaxial cables.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Detection Method for Railway Slope Falling Rocks Based on the Gaussian Mixture Model Segmentation Algorithm

Zhang,

Fu,

et al. 2024

Applied Sciences

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Rockfall intrusion detection is crucial for the safety management of railway operations, and video detection methods help reduce deployment costs and improve detection efficiency. Mainstream neural network-based video detection methods have rapidly evolved in recent years but struggle to adapt to complex scenarios such as existing railway slope constructions due to weak generalization ability, low accuracy, and limited information acquisition. Therefore, this paper introduces a dynamic neural network detection model and establishes a dataset for rockfall intrusions in existing railway slope scenarios. The model initially relies on the YOLOv5 neural network, adopting an activation function suitable for the target scenario and addressing overfitting to achieve precise target recognition. Based on the neural network, the model dynamically detects rolling rockfalls by integrating a background subtraction algorithm based on the Gaussian Mixture Model and captures target dimensions using monocular vision technology, thus broadening the dimensions of detection information. Trials conducted on a railway in Shandong, China, demonstrate that the model accurately identifies moving rockfalls along the railway slopes and acquires the dimensions of moving rockfalls, successfully filtering out low-risk targets in the scene.

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“…In [22] and [23], a method for 1-D position detection is employed using linear frequency modulation (LFM) pulse signal in zigzag-slotted LCX system. In [24] and [25], a wideband Boolean-chaos signal based on user localization has been studied for MIMO system with a pair of LCXs. References [26] and [27] show a localization detection method in LCX-MIMO using the multiple signal classification (MUSIC) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

et al. 2021

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Leaky coaxial (LCX) cable has been employed as antennas for wireless traffic over many linear-cell scenarios such as railway station, tunnels and shopping malls. In addition, LCX can be used for user localization and wireless power transfer (WPT). Compared with the equal power allocation method, the power allocation method for LCX system using positional information (PI) can improve its capacity with the same level of computational complexity. In this paper, we will investigate the level of capacity loss on the 2.4 GHz and 5 GHz band for the conventional equal power (EP) allocation method, the water-filling (WF) based power allocation, and our proposed low-complexity power allocation method for LCX system with PI. The results show that LCX system with our proposed method using PI can reduce the capacity loss due to localization error than that of others.

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A High-Resolution Leaky Coaxial Cable Sensor Using a Wideband Chaotic Signal

Cited by 13 publications

References 36 publications

A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals

A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals

A Dynamic Detection Method for Railway Slope Falling Rocks Based on the Gaussian Mixture Model Segmentation Algorithm

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

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