Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver.
Error and Performance Analysis of MEMS-based Inertial Sensors with a Low-cost GPS Receiver.
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DOI：
10.3390/s8042240
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发表时间：
2008-03-29
期刊：
影响因子：
--
通讯作者：
Gao Y
中科院分区：
文献类型：
--
作者：
Park M;Gao Y
全球导航卫星系统（GNSS），例如全球定位系统（GPS），已经被广泛使用并且其应用变得越来越流行，不仅在军事或商业应用中，而且在日常生活中。虽然 GPS 测量是当前开发的陆地车辆导航系统 (LVNS) 的基本信息，但由于城市峡谷等某些环境下的信号阻塞，GPS 信号常常不可用或不可靠。为了提供连续的导航解决方案，必须对这种情况进行补偿。为了克服 GPS 不可用和不可靠的问题，并提高成本和尺寸效益，基于微机电系统 (MEMS) 的惯性传感器技术一直在推动用于陆地车辆导航和制导应用的低成本组合导航系统的开发。本文将分析基于 MEMS 的惯性传感器的特性以及基于 MEMS 的惯性传感器、低成本 GPS 接收器和数字罗盘的集成系统原型的性能。传感器随机变化的影响将通过两种不同的方法进行评估和建模，即高斯-马尔可夫（GM）模型和自回归（AR）模型，并采用不同长度的 GPS 信号阻塞。运动学测试的数值结果已用于评估不同建模方案的性能。
Global Navigation Satellite Systems (GNSS), such as the Global Positioning System (GPS), have been widely utilized and their applications are becoming popular, not only in military or commercial applications, but also for everyday life. Although GPS measurements are the essential information for currently developed land vehicle navigation systems (LVNS), GPS signals are often unavailable or unreliable due to signal blockages under certain environments such as urban canyons. This situation must be compensated in order to provide continuous navigation solutions. To overcome the problems of unavailability and unreliability using GPS and to be cost and size effective as well, Micro Electro Mechanical Systems (MEMS) based inertial sensor technology has been pushing for the development of low-cost integrated navigation systems for land vehicle navigation and guidance applications. This paper will analyze the characterization of MEMS based inertial sensors and the performance of an integrated system prototype of MEMS based inertial sensors, a low-cost GPS receiver and a digital compass. The influence of the stochastic variation of sensors will be assessed and modeled by two different methods, namely Gauss-Markov (GM) and AutoRegressive (AR) models, with GPS signal blockage of different lengths. Numerical results from kinematic testing have been used to assess the performance of different modeling schemes.