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An approach to benchmarking of loosely coupled low-cost navigation systems
Authors:R González  JI Giribet  HD Patiño
Institution:1. GridTICs and Laboratorio de Computación Reconfigurable, Facultad Regional Mendoza, Universidad Tecnológica Nacional, Rodriguez 273, M5502AJE Mendoza, Argentinarodralez@frm.utn.edu.ar;3. Departamento de Electrónica, Universidad de Buenos Aires and CONICET, Av. Paseo Colón 850, C1063ACV Ciudad Autónoma de Buenos Aires, Argentina;4. Instituto de Automática, Universidad Nacional de San Juan, Av. San Martin Oeste 1112, J5400ARL San Juan, Argentina
Abstract:New solutions to the navigation problem related to low-cost integrated navigation systems (INS) are often published. Since these new solutions are generally compared with ad hoc mathematical models that are not fully exposed, one cannot be sure of the relative improvements. In this work, complete mathematical model for a low-cost INS is suggested to be used as a benchmarking. As far as the authors’ knowledge, a benchmarking for low-cost INS has not been previously reported. Shown INS comprises a strapdown inertial navigation system, loosely coupled to a GPS receiver. The INS mathematical model is based upon classical navigation equations and classical sensor models, both from recognized authors. The algorithm that details the INS operation is also presented. The benchmarking is provided as an open-source toolbox for MATLAB. Additionally, this work can be taken as a starting point for new practitioners in the INS field. To validate the INS mathematical model, real-world data sets from three different Micro Electro-Mechanical Systems (MEMS) inertial measurement units (IMU) and a GPS receiver are processed. It is observed that obtained RMS errors from the three INS are coherent with the quality of corresponding MEMS IMU. This confirms that the proposed benchmarking is a suitable tool to evaluate objectively new solutions to low-cost INS.
Keywords:navigation  system modelling  inertial sensors  signal and information processing  aerospace systems  robotic systems
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