复杂环境下单兵作战导航技术研究

Research on Navigation Technology of Individual Soldier in Complex Environment

单兵导航技术在单兵作战、抢险救灾、反恐防暴等场景中应用广泛。目前卫星导航在室外空旷的环境下能够为单兵提供精确的导航定位,但是面对室内、地下、洞穴等复杂环境时,非自主式的卫星导航系统易受环境影响,导航定位精度无法满足作战需求。文章通过惯性传感器获取单兵运动过程中的原始数据,结合多传感器数据融合算法和人体动力学理论,实现一种自主式、全天候、适用于多种复杂环境下的单兵导航技术。此外,通过室外和室内环境测试数据及计算结果,充分验证了文章算法的有效性。

Individual navigation technology is widely used in individual combat, rescue and disaster relief, anti-terrorism and riot prevention scenarios. At present, satellite navigation can provide precise navigation and positioning for individual soldiers in an open outdoor environment. However, when facing complex environments such as indoors, underground, and caves, non-autonomous satellite navigation systems are easily affected by the environment, and the navigation and positioning accuracy cannot meet the requirements of combat demand. In this paper, inertial sensors are used to obtain raw data during the movement of individual soldiers, combined with multi-sensor data fusion algorithms and human dynamics theory, to achieve an autonomous, all-weather individual navigation technology suitable for a variety of complex environments. In addition, through outdoor and indoor environment test data and calculation results, the effectiveness of this algorithm is fully verified.