Study On Adjusting And Testing Techniques Of Visual-axis Stabilization Of Vehicular Optoelectronic Collimator

The stability accuracy of the vehicular optoelectronic collimation setup could be inevitably affected by the vibration while the vehicle is steering along a rough ground. The stability of the visual axis is crucial to enhancing the weapon’s precision. In this article, by cooperating on the program "The integrative setup of aiming and inertial guidance systems on the XX military equipment", the adjusting and testing technique of the visual axis stabilization about the vehicular optoelectronic collimation setup is investigated. The investigation mainly includes:(1) the theoretical study on the visual axis stabilization of the vehicular stable platform;(2) the adjustment method about the stability accuracy of the vehicular stable platform in the laboratory;(3) the analysis on the factors which influence the stability accuracy of the servo system on the vehicular stable platform, as well as the corresponding solution;(4) the realization of the stability accuracy examination while the vehicle is steering, which is based on image processing algorithm;(5) the acquirement of the real time output about the stability accuracy, which had been verified by the shooting range test.Domestically, the stability accuracy measurement for vehicular application based on the image processing algorithm is still in the static examination stage up to now, which means the engineering application under the dynamic environment for the steering process is not available. While the tank is in motion, the data acquisition and processing must be realized in real time, which is critical to achieve the dynamic measurement about the accuracy of the aiming system. In this research, the input analogue video signal will be finally processed by DSP. In this article, the software is based on the cross-correlation tracking and optimization algorithm, which could efficiently utilize the extension of the signal channel of C64core frame and the special function unit of the hardware. As a result, the matching of cross-correlation coefficients can be calculated expeditiously. The processed video signal flow is then sent to the video coder to convert it into the PAL format. Finally, the video signal exports to the video storage unit and the calculated results from DSP export to the display unit simultaneously. Based on all the steps mentioned above, the automatic examination and the data storage of aiming system’s accuracy are realized, and the real time output of the deviation is available for the tracking of the line of sight. All these accomplishments are essential to precise measurement of accuracy of the line of sight while the system is in motion.