Reasearch On Airborne Platform Magnetic Interference Compensation And Simulation Technology

The technology of airborne magnetic interference compensation infers to take some reasonable measures to eliminate the magnetic interference which results from the aircraft’s material and motor. This technology is applying to aeromagnetic detection to detect the magnetic anomaly signal. The difficulties lies in not only ensure the high compensation precision to highlight the magnetic anomaly signal, but also ensure the magnetic anomaly signal was not damaged in the process of compensation. In this paper, the compensation technology is improved from the optimization of magnetic model and the solution of compensation coefficient.Considering the variation of the external field, I deduce the mathematical model of airborne magnetic interference. In order to facilitate application engineering, classical T-L model of magnetic model assumes that external filed is constant. As a result, it causes the error of model. In this paper, I construct the airborne magnetic model under the consideration of external filed carrying by analyzing the mechanism of magnetic interference. Comparing with the T-L model, I points to the improvement direction of magnetic compensation. The constant of external field in the T-L magnetic model should be corrected and the accuracy of compensation coefficient should be improved. In addition, I construct the numerical simulation platform of airborne magnetic interference by way of arrays of thought.The algorithm of data automatic screening basing on the perturbation of variance and FCM is proposed. In order to improve the precision of computing compensation coefficient, it must choose the high quality data. For the problem of data automatic screening, an automatic selection algorithm is proposed.The algorithm of truncating generalized cross validation parameter basing on SVD is proposed. This paper analysis the reason of the ill-posed problem of magnetic interference model and the reason causing the parameter unstable when estimating the parameter in condition of ill-posed problem. Basing on these discussions, an improvement algorithm is proposed.A novel self-adaption algorithm basing on time-varying parameter estimation is prosed. The hypothesis of constant magnetic field of the classical magnetic interference model is corrected. The characteristic of time-varying of magnetic interference model is analyzed. Basing on these discussions, an improvement algorithm is proposed. After detecting the compensation result, the algorithm which is proposed in this paper does not damage the magnetic anomaly signal. Thus, it proves the correctness and reliability of the proposed algorithm.