چکیده مقاله
In recent years, the advancement of inertial navigation systems INS with the aim of increasing road safety and underwater vehicles localization has dramatically enhanced One of the most important parts of an inertial navigation system is the Inertial Measuring Unit IMU , which is made up of accelerometers and gyroscope sensors IMU output signals usually have different noises and errors Neglect of these two problematic issues could lead to a sharp decline in the performance of a navigation system Identifying, modeling and removing noises and errors are the most important challenges in an inertial navigation system In this paper, a method for modeling the accelerometers and gyroscope sensors will be presented This modeling, with 6 degree of freedom DOF for 3DM GX25 inertial setup, is one of the efforts made in this study Due to the dramatic growth of noise reduction methods by wavelet transformation in an inertial navigation system, the method is explored in detail in this paper Finally, the performance of Allan variance and on removing noise and signal errors will be investigated In this study, the effect of wavelet transformation denoising on the performance of a subsurface navigation signal system will be examined by ALVAR software Simulations show that the use of wavelet transformation in 3DM GX25 intrusion data for subsurface vehicles does not necessarily lead to improving navigation performance
کلیدواژهها
نویسندگان
Fatemeh Vaez
Malek Ashtar university of Technology, Tehran, Iran
شیوه ارجاع
Vaez, Fatemeh,1396,Noise Reduction of IMU Output Signals by Wavelet Transform with Allen Variance,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران