An Improved Positioning Algorithm in a Long-Range Asymmetric Perimeter Security System

Liu, Kun; Miao, Tian; Jiang, Junfeng; An, Jianchang; Xu, Tianhua; Cheng, Mengqi; Pan, Liang; Wang, Tao; Li, Zhichen; Zheng, Wenjie; Xue, Ming; Wu, Fan; Liu, Tiegen

doi:10.1109/jlt.2016.2615646

Cited by 19 publications

(4 citation statements)

References 22 publications

(24 reference statements)

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“…where n is the number of range bins in Ś. (5) Normalize the values of Ŝ to between 0 and 1 by Equation (11), so as to eliminate the amplitude sensitivity.…”

Section: Action Recognitionmentioning

confidence: 99%

“…The common intrusion detection technologies include infrared sensors [1,2], video surveillance systems [3,4], electronic fences [5][6][7], vibration cable transducers [8], optical fiber vibration sensors [9][10][11][12], leaky coaxial cable (LCX) sensors [13][14][15][16][17][18][19][20], and radar sensors [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…Optical fiber vibration sensors mainly include Michelson interferometers [9], Sagnac interferometers [10], Mach-Zehnder interferometers [11] based on interferometric sensors, and phase-sensitive optical time-domain reflectometers [12] based on backscattering. The vibration change of optical fibers induced by the intruder climbing is transformed into the optical phase change so as to realize the intrusion detection.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…where n is the number of range bins in Ś. (5) Normalize the values of Ŝ to between 0 and 1 by Equation (11), so as to eliminate the amplitude sensitivity.…”

Section: Action Recognitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2022

Sensors

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“…With the runtime of several milliseconds, time domain characteristics of zero-crossing rate (ZCR) and short-term energy (STE) are the most common indicators for signal activity detection. K. Liu et al applied the dual-crossing method to part signals and environmental noise depending on ZCR [16,17]. Due to the principle of counting the number of zerocrossing values in several fixed time blocks of the data stream, it is more sensitive to high-frequency signals and loses low-frequency signals.…”

Section: Introductionmentioning

confidence: 99%

Signal Activity Detection for Fiber Optic Distributed Acoustic Sensing with Adaptive-Calculated Threshold

Cao

et al. 2022

Sensors

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The key point on analyzing the data stream measured by fiber optic distributed acoustic sensing (DAS) is signal activity detection separating measured signals from environmental noise. The inability to calculate the threshold for signal activity detection accurately and efficiently without affecting the measured signals is a bottleneck problem for current methods. In this article, a novel signal activity detection method with the adaptive-calculated threshold is proposed to solve the problem. With the analysis of the time-varying random noise’s statistical commonality and the short-term energy (STE) of real-time data stream, the top range of the total STE distribution of the noise is found accurately for real-time data stream’s ascending STE, thus the adaptive dividing level of signals and noise is obtained as the threshold. Experiments are implemented with simulated database and urban field database with complex noise. The average detection accuracies of the two databases are 97.34% and 90.94% only consuming 0.0057 s for a data stream of 10 s, which demonstrates the proposed method is accurate and high efficiency for signal activity detection.

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Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing

Zhu,

Pu,

Yang

et al. 2024

Advanced Engineering Informatics

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An Improved Positioning Algorithm in a Long-Range Asymmetric Perimeter Security System

Abstract: Tiegen. (2016) An improved positioning algorithm in a long-range asymmetric perimeter security system.

Cited by 19 publications

References 22 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

Signal Activity Detection for Fiber Optic Distributed Acoustic Sensing with Adaptive-Calculated Threshold

Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing

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