@inproceedings{1af776e0b646488bad7dbdaf4301d8c7,
title = "An orthonormalized basis function algorithm based on wavelet analysis for Magnetic Anomaly Detection",
abstract = "This Magnetic Anomaly Detection (MAD) technology is widely used in various fields in recent years. The focus of most researches is how to improve the signal recognition rate and reduce the false alarm rate. This paper presents an improved Orthonormalized Basis Function (OBF) algorithm for MAD in non-Gaussian noise background. In this algorithm, the raw signal is first decomposed by the wavelet. Then several layers of the decomposed signal with target characteristics are picked out as the reconstructed signal. Finally the magnetic target is recognized by the OBF algorithm. The experimental results show that the noise of the signal can be suppressed to a certain extent and the SNR is improved. Compared with the traditional OBF algorithm, the wavelet analysis based OBF algorithm can detect the target signal accurately and reduce the waste of resources caused by the false alarms.",
keywords = "magnetic anomaly detection, orthonormalized basis function, wavelet analysis",
author = "Xin Zheng and Qingfeng Xu and Mei Zhou and Hongying Liu and Song Qiu and Li Sun and Qingli Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 ; Conference date: 14-10-2017 Through 16-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CISP-BMEI.2017.8302086",
language = "英语",
series = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
editor = "Qingli Li and Lipo Wang and Mei Zhou and Li Sun and Song Qiu and Hongying Liu",
booktitle = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
address = "美国",
}