Improved switching CFAR detector for non-homogeneous environments

Zhang, Renli; Sheng, Weixing; Ma, Xiaofeng

doi:10.1016/j.sigpro.2012.06.015

Cited by 27 publications

(16 citation statements)

References 23 publications

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“…Then the noised can be removed. Yet powerful interference exists on practical surrounding which is supposed to be detected by CFAR [18][19][20]. We can draw the conclusion that the interference needs further dispose.…”

Section: Introductionmentioning

confidence: 85%

A new detection method based on CFAR and DE for OFPS

Qiu

Zheng

et al. 2016

Photonic Sens

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Optical fiber pre-warning system (OFPS) is widely utilized in pipeline transport fields. The intrusions of OFPS need to be located. In this system, the original signals consist of noises, interferences, and intrusion signals. Here, noises are background and harmless interferences possessing with high power, and the intrusion signals are the main target of detection in this system. Hence, the study stresses on extracting the intrusion signals from the total ones. The proposed method can be divided into two parts, constant false alarm rate (CFAR) and dilation and erosion (DE). The former is applied to eliminate noises, and the latter is to remove interferences. According to some researches, the feature of noise background accords with the CFAR spatial detection. Furthermore, the detection results after CFAR can be presented as a binary image of time and space. Besides, interferences are relatively disconnected. Consequently, they can be eliminated by DE which is introduced from the image processing. To sum up, this novel method is based on CFAR and DE which can eliminate noises and interferences effectively. Moreover, it performs a brilliant detection performance. A series of tests were developed in Men Tou Gou of Beijing, China, and the reliability of proposed method can be verified by these tests.

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Section: Introductionmentioning

confidence: 85%

A new detection method based on CFAR and DE for OFPS

Qiu

Zheng

et al. 2016

Photonic Sens

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“…In recent years, with the continuous improvement of random signal processing techniques and pattern recognition methods, the research into optical fiber intrusion signals detection and recognition algorithms has achieved significant progress. For intrusion signals detection, the Constant False Alarm Rate (CFAR) algorithms effectively overcome the adverse effect caused by a large number of non-stationary random interference signals, and greatly improve the detection performance of OFPS [7][8][9][10]. However, in practical applications, it is found that there are a large number of false alarms in CFAR detection results.…”

Section: Introductionmentioning

confidence: 99%

The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals

Sheng

Yuan

et al. 2018

Algorithms

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With the continuous development of optical fiber sensing technology, the Optical Fiber Pre-Warning System (OFPS) has been widely used in various fields. The OFPS identifies the type of intrusion based on the detected vibration signal to monitor the surrounding environment. Aiming at the real-time requirements of OFPS, this paper presents a fast algorithm to accelerate the detection and recognition processing of optical fiber intrusion signals. The algorithm is implemented in an embedded system that is composed of a digital signal processor (DSP). The processing flow is divided into two parts. First, the dislocation processing method is adopted for the sum processing of original signals, which effectively improves the real-time performance. The filtered signals are divided into two parts and are parallel processed by two DSP boards to save time. Then, the data is input into the identification module for feature extraction and classification. Experiments show that the algorithm can effectively detect and identify the optical fiber intrusion signals. At the same time, it accelerates the processing speed and meets the real-time requirements of OFPS for detection and identification.

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“…Fixed threshold detection is adopted in Φ-OTDR initially, Fukun BI et al: Harmful Intrusion Detection Algorithm of Optical Fiber Pre-Warning System Based on Correlation of Orthogonal Polarization Signals 227 but its performance degrades dramatically in complicated application environment [7][8][9][10][11]. Furthermore, the constant false alarm rate (CFAR) methods are introduced to detect the intrusion signal of optic fiber [12][13][14][15][16]. CFAR improves the performance of OFPS in a certain extent because adaptive threshold of it, but there is still a mass of false alarms in detection results.…”

Section: Introductionmentioning

confidence: 99%

Harmful intrusion detection algorithm of optical fiber pre-warning system based on correlation of orthogonal polarization signals

Feng

et al. 2017

Photonic Sens

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At present, advanced researches of optical fiber intrusion measurement are based on the constant false alarm rate (CFAR) algorithm. Although these conventional methods overcome the interference of non-stationary random signals, there are still a large number of false alarms in practical applications. This is because there is no specific study on orthogonal polarization signals of false alarm and intrusion. In order to further reduce false alarms, we analyze the correlation of optical fiber signals using birefringence of single-mode fiber. This paper proposes the harmful intrusion detection algorithm based on the correlation of two orthogonal polarization signals. The proposed method uses correlation coefficient to distinguish false alarms and intrusions, which can decrease false alarms. Experiments on real data, which are collected from the practical environment, demonstrate that the difference in correlation is a robust feature. Furthermore, the results show that the proposed algorithm can reduce the false alarms and ensure the detection performance when it is used in optical fiber pre-warning system (OFPS).

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Improved switching CFAR detector for non-homogeneous environments

Cited by 27 publications

References 23 publications

A new detection method based on CFAR and DE for OFPS

A new detection method based on CFAR and DE for OFPS

The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals

Harmful intrusion detection algorithm of optical fiber pre-warning system based on correlation of orthogonal polarization signals

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