动态威胁环境下单无人机测向定位航迹优化算法

为解决单架无人机在动态战场环境下的测向定位问题,提出了一种基于动态窗口法的单机测向定位航迹优化算法。以最大化Fisher信息矩阵行列式为测向定位评价准则,在由动态探测雷达和静/动障碍构成的动态战场环境中,基于动态窗口法思想,将测向定位航迹优化评价准则由传统的单步最优原则扩展到对多步预测航迹的评价,同时考虑雷达探测和静/动障碍环境对预测航迹的影响,通过滚动时域方法控制无人机最优航向。仿真结果表明,所提方法能够使无人机在有效逃避雷达探测威胁以及规避环境中静/动障碍的条件下保证对目标的高精度测向定位,为解决动态战场环境下的单架无人机测向定位问题提供了新思路。     

Success and failures of the Gripen offsets in the Visegrad Group countries

The Soviet-led Council for Mutual Economic Assistance member, Central European countries found themselves in a difficult political and economic situation after the collapse of the Soviet Union. Three post-Eastern Bloc countries formed the Visegrad Group to strengthen their ties to the West, but the need for foreign investment, job creation and technology transfer was urgent.

This is when military modernisation also came into the picture and the counter-trade—as known as offset—as a tool to help these economies. A trade practice which was meant to energise these economies via defence acquisitions linked economic programmes.

Two Visegrad Group member countries, Hungary and the Czech Republic decided to sign offset agreement with the defence firm SAAB to license Gripen fighter aircrafts. This study intends to analyse if these deals were able to help governments to reach their objectives or the two countries were unable to take advantage of the offset programmes.