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A new algorithm to determine target position using distance measurements at different locations

机译:一种使用不同位置的距离测量来确定目标位置的新算法

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The precise target location needs to be loaded before the airborne satellite-guided bomb launch from the aircraft for attacking the target accurately. In the traditional method, the laser range finder and the angle sensors of the optical pod/airborne radar were used to measure the relative distance and angle between the bomb and the target, and the target position can be calculated by these measurements. It is difficult to meet the requirement of high positioning accuracy when launching outside the enemy defense area because of the limited precision of the angle sensors. A new algorithm for target location using distance measurements at different locations is proposed to solve this problem. It is derived from the theoretical formulas, and least squares estimation and iterative method are used for calculation process. Based on this algorithm, only the laser range finder is needed and the angle sensors are not required. Simulation results for a typical example show that, the positioning accuracy for target at the range of 40 km is less than 3 m (CEP), and the convergence rate is fast enough. In addition, the accuracy and convergence rate of the algorithm can be improved by optimization of the aircraft flight path and selection of the positions for measurement.
机译:在从飞机上发射机载卫星制导炸弹之前,需要加载精确的目标位置,以精确地攻击目标。在传统方法中,使用激光测距仪和光学吊舱/机载雷达的角度传感器来测量炸弹与目标之间的相对距离和角度,并可以通过这些测量来计算目标位置。由于角度传感器的精度有限,很难在敌方防御区域外发射时满足高定位精度的要求。为了解决这个问题,提出了一种使用不同位置的距离测量值进行目标定位的新算法。它是从理论公式推导而来,并采用最小二乘估计和迭代法进行计算。基于此算法,仅需要激光测距仪,而无需角度传感器。一个典型例子的仿真结果表明,目标在40 km范围内的定位精度小于3 m(CEP),收敛速度足够快。此外,可以通过优化飞机飞行路径和选择测量位置来提高算法的准确性和收敛速度。

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