Magnetic Object Detection Method Based on FIR and Orthonormalized Functions Decomposition Algorithm
YANG Yong
SHI Chao
CHEN Zhengxiang
Abstract：Aiming at the low SNR in magnetic anomaly detection ,a new algorithm was proposed using FIR low‐pass filter integrated into orthonormalized functions decomposition algorithm .Firstly the FIR low‐pass filter was constructed to filter the high frequency noise in the raw signal .Then the disposed signal was decomposed by orthonormalized functions de‐composition algorithm to increase SNR .The simulation result demonstrated the method can increase the detection ability of magnetic object and possesse engineering application value .
Keywords：M ADSNRlow-pass filterorthonormalized functions decomposition algorithmmagnetic object detec-t io n
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 56-58,157 )