地磁背景环境中基于分形特征的磁异常信号检测算法

磁异常检测(MAD)是一种应用广泛的被动式目标检测方法，其应用包括水面舰船目标监测、水下移动目标及陆地目标的检测与识别等领域。基于地磁背景下弱磁异常信号的可靠性检测方法研究具有重要的意义，该文在研究地磁背景与磁异常信号分形特征差异的基础上，提出一种基于目标磁异常信号分形特征的单传感器检测方法，并进行实际外场试验验证。试验结果表明:该方法能准确分辨出地磁背景干扰与磁异常信号，并可以在地磁背景噪声中实现弱磁异常信号的检测。

Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background

Magnetic Anomaly Detection (MAD) is a widely used passive target detection method. Its applications include surface warship target monitoring, underwater moving targets, and land target detection and identification. It is of great significance to research on the reliability detection method of weak magnetic anomaly signals based on geomagnetic background. This paper proposes a single sensor detection method based on the fractal characteristics of target magnetic anomaly signal based on the study of the differences in geomagnetic background and fractal characteristics of magnetic anomaly signals and conducts actual field test verification. The experimental results show that the method can accurately distinguish the geomagnetic background interference and magnetic anomaly signals, and can detect the weak magnetic anomaly signals in the geomagnetic background noise.