卡尔曼滤波的GNSS/DR综合导航系统研究  

GNSS/DR Integrated Navigation System Based on Kalman Filter

作　　者：徐虎 白明 周志明 王景森 XU Hu;BAI Ming;ZHOU Zhi-ming;WANG Jing-sen(Department of Basic Courses,Guangzhou Maritime University,Guangzhou 510700,China)

机构地区：[1]广州航海学院船舶与海洋工程学院,广东广州510700

出　　处：《广州航海学院学报》2018年第4期74-77,共4页Journal of Guangzhou Maritime University

基　　金：广东省重点科技攻关项目(2005B010129017);广东省自然基金项目(2016A030310104)

摘　　要：为了解决GNSS(全球导航卫星系统)在卫星盲区无法进行定位导航的问题,本文研究了一种GNSS/DR(航位推算)组合导航系统.本文首先分别研究了DR,GNSS导航系统,然后研究了基于卡尔曼滤波的GNSS/DR综合导航系统研究,该系统综合了GNSS定位精度高与及DR能够自主导航的优点,具有互补性与稳定性.最后通过实验,验证了GNSS/DR综合导航系统研究在卫星盲区可以获得连续可靠的定位结果.In order to overcome the defects of GNSS in the satellite blind area,this paper proposes Global Navigation Satellite Systems(GNSS)integrated with Dead Reckoning(DR),which combines the advantages of high positioning accuracy and the ability of the DR to navigate independently,as well is optimized by the adaptive Kalman filter algorithm,This is complementary and stable,compared with the standalone systems.Through experiments,it has verified that the GNSS/DR integrated navigation system can obtain continuous and reliable positioning results in the satellite blind area.

关 键 词：航位推算 GPS定位 北斗定位 卫星盲区 

分 类 号：TN961[电子电信—信号与信息处理]