Four-axis dual-band error avoidance attitude measurement algorithm with adaptive active differential interference feature extraction

Abstract

Infrared radiation attitude measurement technology is a new, non-inertial, satellite independent and fast-responding attitude parameters testing method. However, the random occurrence of infrared radiation during missile flight, such as clouds or solar radiation, can cause significant interference in infrared radiation attitude measurement. To enhance the anti-interference capability of infrared radiation attitude measurement, the adaptive active differential (AAD) interference feature extraction algorithm and the four-axis error avoidance (FEA) attitude calculation algorithm with dual-band infrared radiation (DIR) are proposed. Initially, the long-wave and mid-wave infrared radiation laws of clouds and solar radiation are analyzed to identify their different characteristics in both wavebands. The interference type encountered by the rotating missile during flight is extracted by the designed AAD algorithm. Subsequently, based on the results of AAD algorithm, the adjacent axis long-wave or mid-wave infrared sensor data with less or no interference influence is selected. Finally, the attitude angle information is obtained by using two-axis or four-axis attitude calculation algorithm. The results of the semi-physical experiments indicate that the four-axis dual-band infrared attitude measurement device using the FEA algorithm can achieve RMSE about 1 even under the interference of solar or clouds cover.