Adaptive detection of magnetic target in aeromagnetic survey

Due to multi-collinearity of the traditional aircraft´s magnetic inference model, it is difficult to estimate the parameters of model accurately. And the magnetic anomaly detection (MAD) in airborne is affected too. Because of the time-domain characteristics of magnetic target, the magnetic signal of target was considered as a kind of short-time signal. Using the statistical characteristics of aircraft´s background noise, the method of adaptive detection removed magnetic noise adaptively. Based on the differences between statistical characteristics of target and noise, the detection factor proposed has strong magnetic anomaly detection capability with background of strong complex noise. The method could detect a magnetic anomaly less than 1 nT in 500m away. More than one target could be detected at the same time. The average of factor in different reference signal has better resolution than single factor in detection. Besides adaptive detection simplifies the compensation process and improves the detection efficiency of aeromagnetic survey.