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The accurate measurement of roll angle is the premise of precise guidance and control of controlled high-speed rotating projectile. However, the geomagnetic attitude measurement method based on magnetic sensor will affect the accuracy of magnetic sensor measurement due to the magnetic field interference of the projectile. Aiming at this problem, an online correction method for the magnetic field interference of the projectile is proposed. According to the magnetic field interference that may be encountered during the flight of the high-speed rotating projectile, a magnetic field error model is established, and the magnetic field value measured by the magnetic sensor is corrected and compensated in real time by the flight law constraint of the rotating projectile. The semi-physical simulation experiments show that the method can effectively reduce the measurement error and improve the estimation accuracy of the projectile roll angle. The method is verified by three-axis flight turntable measurement, and the accuracy of geomagnetic attitude roll angle can be improved by 6 times. The method only needs three-axis magnetic sensor to complete the correction, with simple steps, very short correction time, good real-time performance and high accuracy.

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The normal digital filter cannot achieve a good filtering result since the characteristics of elec­tro-hydraulic servo system makes the frequency of noistf signal close to the frequency of useful signal. The empirical mode decomposition algorithm is improved to remove these noise signals exactly from data. The definition 1 extreme points is extended, a judging formula of envelope interpolation is given, and a new decomposition end judgment condition is added. The improved EMD method has better effect and decom­position efficiency on the signal from electro hydraulic servo syslem. Il can meet the real-time filtering re­quirements. This new filter based on improved EMD method is used in eleetro-hydraulie servo system, and the normal digital filter compared with the original HMD method. The test results show that this new filter has a good application effect and less consuming time. [ABSTRACT FROM AUTHOR]

According to the characteristics of inertial sensor signal processing, this paper proposed the signal processing system and method based on sparse representation. Through the K-SVD algorithm of signal learning training to obtain the dictionary, and in order to reduce the amount of computation to meet the real-time, as far as possible to reduce the size of the dictionary, the simulation results show that, under certain precision condition, the minimum size of the dictionary is 3 X 10. Then, in the dictionary under the sparse representation and reconstruction of signals, while changing the input signal, it could achieve signal real-time filtering. The simulation results show that the proposed method can effectively eliminate the noise, improve the accuracy of output signals, and improve SNR up to 4.5 dB. The filtering method has more advantages than the traditional method, and provides a new method for inertial sensor signal processing. [ABSTRACT FROM AUTHOR]