Study on CA-CFAR Algorithm Based on Normalization Processing of Background Noise for HI of Optical Fiber

• 来源期刊: 光子传感器（英文版）
• 关键词: OFPS HI CA-CFAR normalization Non-ⅡD
• 年，卷（期）: 2018,（4）
• 页码范围: 341-350
• 页数: 10页
• 语种: 英文
• DOI: 10.1007/s13320-018-0498-5

摘要

Optical fiber pre-waming system (OFPS) is often used to monitor the occurrence of disasters such as the leakage of oil and natural gas pipeline.It analyzes the collected vibration signals to judge whether there is any harmful intrusion (HI) events.At present,the research in this field is mainly focused on the constant false alarm rate (CFAR) methods and derivative algorithms to detect intrusion signals.However,the performance of CFAR is often limited to the actual collected signals distribution.It is found that the background noise usually obeys non-independent and identically distribution (Non-ⅡD) through the statistical analysis of acquisition signals.In view of the actual signal distribution characteristics,this paper presents a CFAR detection method based on the normalization processing for background noise.A high-pass filter is designed for the actual Non-ⅡD background noise data to obtain the characterization characteristic.Then,the background noise is converted to independent and identically distribution (ⅡD) by using the data characteristic.Next,the collected data after normalization is processed with efficient cell average constant false alarm rate (CA-CFAR) method for detection.Finally,the results of experiments both show that the intrusion signals can be effectively detected,and the effectiveness of the algorithm is verified.