一种基于TDOA的弹着点定位改进算法

Research on an improved algorithm based on TDOA for the location of cannonball impact points

针对传统炮弹定位算法精度不高,实时性较差的缺点,提出一种基于TDOA的改进定位算法,并通过靶场实地数据对算法加以检验。该算法适用于传感器间连线成任意角度的阵列,并结合KMeans算法剔除离群点保证数据质量。实地数据检验表明,该算法明显提高了定位精度,并且规避了解高阶方程组带来的繁冗计算,达到了预期目标。

The conventional TDOA algorithm for the location of cannonball impact points suffers from low precision and poor efficiency. To overcome these shortcomings, we propose in this paper a new TDOA- based algorithm which is applicable to sensor arrays of random layout. Then K-Means algorithm is also adopted to eliminate outliers and ensure data quality. The experiment and application on data from range show that this algorithm can improve the precision of location and helps to avoid the computational complexity caused by high-order equations.