Research On Micro Inertial Navigation Autonomous Location Fusion Algorithm

Global satellite positioning technology has long been integrated into the lives of ordinary people and has been widely used in every aspect of daily life.In many environments,satellite signals may not be able to perform positioning at all due to noise and shielding,or the accuracy of satellite positioning technology may not fully meet the needs of subdivided positioning.Therefore,other positioning methods such as inertial navigation technology and multi-source data fusion positioning technology have emerged.In order to solve the cumulative error problem of inertial navigation,the paper studies the scheme of introducing space constraints for pedestrian inertial navigation.The paper discusses the common scheme for vehicle pedestrians,including the closed-loop detection trajectory back-end optimization method and the fusion of inertial navigation and satellite positioning.First,the paper summarizes the development status of navigation positioning and multi-source data fusion,introduces the basic principles of inertial navigation,satellite navigation,and millimeter-wave radar positioning navigation technology;The basic process of algorithms such as component analysis.second,the fusion positioning algorithm of millimeter wave radar and inertial navigation system is discussed,and a comparative experiment is carried out based on the classic inertial navigation algorithm.The results show that the fusion of millimeter wave radar and inertial navigation system reduces the cumulative error of the system from the quadratic function of noise to the level of constant noise.third,the thesis deeply studies the characteristics of inertial sensors and simplifies the closed-loop back-end optimization algorithm according to its characteristics.Experimental results show that the algorithm reduces the average error of micro-inertial navigation by nearly 300%,and greatly reduces the computational complexity of the method.last,the paper discusses a fusion scheme of satellite positioning and inertial navigation based on the principal component analysis algorithm.Experiments show that even if the satellite signal is missing for a long time and the noise is large,the navigation task can still be completed accurately and stably.Overall robustness and adaptability.