中文摘要：

多点定位（Multilateration，MLAT）是未来民航监视的必备技术和发展趋势。针对其中的多站信息优化求解问题，将经典的定位算法与分布式处理相结合，提出了一种面向机场的改进定位方法。该方法对多站进行分组，在前端节点完成初步的定位解算及航迹滤波；在后端中心节点进行全局融合。通过分布式结构既降低了系统关键节点的通信负荷与运算压力，又保障了所有站点均可参与位置解算，从而提高了整体运算能力及精度。基于仿真数据和机场实测数据的实验表明了该方法的有效性和可行性。

英文摘要：

Multilateration （MLAT） is becoming one of the leading techniques in the field of airports surveillance. In view of the optimal processing concerning redundant stations, an improved distributed algorithm is proposed. The algorithm divides ground stations into different groups. Each group estimates the target position and the error independently in the front end;the positions from different groups are fused in the tailing end. Through the distributed structure, the load of communication and computation in the key nodes is reduced, while the precision of final result is improved. The experiments based on simulation and practical data from airports show the algorithm is not only valuable but also feasible.