针对智能弹药对地面车辆的测距问题,提出了一种基于目标轴线的成像引信测距算法。将弹目相对姿态表示为测量坐标系和目标坐标系之间的相对位置角,利用目标轴线长度和夹角的透视投影关系完成弹目距离解算。算法采用弱透视透视投影模型简化了解算过程,利用相对位置角提高了解算精度。误差分析给出了弹目距离和相对位置角对测量误差的影响。对不同相对位置角和弹目距离下的图像仿真结果表明,测距相对误差小于3%,结果稳定。

To measure the distance between smart munitions and vehicle, a ranging algorithm for imaging fuze based on target axes was proposed, which uses weak perspective projection model to approximate imaging process. Relative attitude between smart munitions and vehicle was expressed as three angles of relative position (TARP) between target coordinate system and measurement coordinate system, and perspective projection relationship of target axes' length and angle was used for accomplishing distance measurement. Since the algorithm makes use of the weak perspective projection model, ranging process becomes simpler. As the image effect of relative attitude is taken into account, ranging accuracy is improved. Then the influence of TARP and missile-target distance to measurement error is given. Experiments results on images with different TARP and missile-target distance indicate that the maximum relative error does not exceed 3%, and the result is stable.