基于多传感器的微弱磁异常信号提取方法研究

针对磁异常探测(magnetic anomaly detection, MAD)问题，许多学者提出了相应的检测方法。检测只能判断目标存在与否，而为了实现目标定位和识别需要获取异常信号本身。通过建立机载磁异常信号提取模型，基于卷积盲源分离(convolution blind source separation, CBSS)理论，提出频域相关提取算法实现异常信号提取。仿真实验结果验证了该方法的可行性和有效性。

Extraction method of weak magnetic anomaly signal based on multi sensor

In order to solve the problem of magnetic anomaly detection (MAD), many scholars have proposed the corresponding detection methods. These methods can only detect the presence or absence of the target, while obtaining anomaly signal itself can achieve the goal of locating and identifying the target. In this paper, the magnetic anomaly signal extraction model based on airborne platform and the frequency domain correlation extraction algorithm based on convolution blind source separation (CBSS) are proposed. The extraction of weak magnetic anomaly signal is implemented. Simulation results demonstrate the feasibility and effectiveness of the proposed method.