A Detection Method of Magnetic Anomaly Signal in Offshore Waters

Abstract

Magnetic anomaly signal detection has broad application prospects in offshore defense, which is an urgent problem for realizing remote and long-term monitoring. In this paper, an underwater magnetic anomaly detection model is proposed, and wavelet domain analysis and orthogonal basis decomposition detection methods are introduced. Through the analysis of magnetic anomaly signal characteristics and wavelet decomposition frequency, adaptive layer determination method is proposed, and independent processing flow of denoising orthogonal basis decomposition energy detection was performed. To address the problem of wavelet domain denoising under different decomposition scales, different shrinkage coefficients are used to independently deal with detail coefficients to improve the effect of high-frequency noise suppression. The results show that compared with the traditional wavelet denoising, the signal-to-noise ratio of this method is improved by approximately 27%, and the false recognition rate is reduced by 39%.

Keywords

• water magnetic target
• magnetic anomaly detection
• wavelet denoising
• orthogonal basis detection