惯性导航技术由于其具有自主性、全天候、抗干扰等特点而成为众多导航技术中可实现自主导航的一种最重要的技术手段。随着现代科技的不断发展导航定位技术已经成为了众多应用领域中的重要技术之一。由于网络技术、控制技术的快速发展惯性导航定位技术已经被广泛应用于商业民用领域并且在众多产品中得到了广泛的应用和普及化。导航定位技术涉及的方面十分广泛例如车辆地图测绘、无人驾驶、快递机器人、智能驾考等。因此对导航信息的精

Inertial navigation technology, due to its autonomy, all-weather capability, and anti-interference features, has become one of the most important technical means for achieving autonomous navigation among many navigation technologies. With the continuous development of modern technology, navigation and positioning technology has become an important technology in many application fields. Due to the rapid development of network technology and control technology, inertial navigation and positioning technology have been widely used in commercial and civilian fields, and have been widely applied and popularized in many products. Navigation and positioning technology covers a wide range of aspects, such as vehicle map surveying and mapping, unmanned driving, express delivery robots, and intelligent driving examinations. Therefore, precision, reliability, and real-time requirements have been placed on navigation information.

Dead reckoning is a commonly used autonomous navigation and positioning technology. Taking vehicle navigation as an example, it can use distance sensors and direction sensors to obtain the distance and azimuth angle of vehicle movement, thereby calculating the position of the vehicle. This technology can maintain relatively high accuracy in a short time and is not affected by external factors. However, dead reckoning can only provide directional positioning information of the carrier relative to the given initial position, and the positioning error obtained by using dead reckoning will increase as the calculation process proceeds. Therefore, if dead reckoning is combined with other positioning information, and the deficiencies in their respective positioning processes are compensated for by using data fusion algorithms, the precision and reliability of the entire positioning system can be improved. With the continuous development of vehicle navigation and positioning technology, it can be foreseen that future vehicles will become more intelligent, with stronger autonomous driving ability and higher safety performance. Data fusion technology will also be more widely used, becoming an indispensable part of navigation and positioning technology.

Micro-electromechanical system (MEMS) inertial sensors are a type of inertial sensor manufactured based on microfabrication technology, with the advantages of small size, light weight, low power consumption, and low cost. Due to these advantages, MEMS inertial sensors have been widely used in the field of inertial navigation. Inertial navigation is a navigation method that uses inertial sensors to measure and calculate the position, velocity, and acceleration of a moving object. Traditional inertial navigation systems usually use mechanical gyroscopes and accelerometers. However, these sensors are large, heavy, and expensive, limiting their applications in small and low-cost applications. The emergence of MEMS inertial sensors has changed the situation of inertial navigation. These sensors are small in size and light in weight, can be integrated into micro navigation systems, making the navigation system more compact and flexible. At the same time, their relatively low price makes them suitable for mass production and widespread application.

MEMS inertial sensors are particularly widely used in navigation and control of unmanned systems. Unmanned systems typically require autonomous navigation and control without external guidance. MEMS inertial sensors can provide accurate position, velocity, and acceleration measurement data, helping unmanned systems achieve autonomous navigation and control. For example, MEMS inertial sensors can be used in unmanned driving systems such as autonomous vehicles, aircraft, and ships. In addition, MEMS inertial sensors are also widely used in mobile devices. For example, MEMS accelerometers can detect tilting and shaking of mobile phones or tablets, allowing mobile devices to automatically rotate the screen orientation, and MEMS gyroscopes can be used to detect the rotation and turning of devices, helping mobile devices achieve precise directional control.

In summary, MEMS inertial sensors have broad application prospects in the field of inertial navigation and are an important development direction of future inertial navigation technology