AUTHORS: Salam Ismaeel, Ayman Al-Khazraji
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ABSTRACT: This paper aims to bring together Global Positioning System (GPS) and Inertial Navigation System (INS) integration approach for data fusing using wavelet analysis. The wavelet is employed to compare the sensors outputs at different resolution levels and for several types of errors in INS and GPS as well as to smooth and predict the INS errors. Simulation results show that, the types of filters which are used in multi-resolution algorithm have large effects in reducing the INS/GPS error in position and especially in velocity components. Furthermore, soft thresholding technique is introduced in multi-resolution algorithm, where six rules are proposed to select the threshold value. Real GPS and INS measurements were used in the Matlab simulation to illustrate the effectiveness of the proposed method.
KEYWORDS: Vehicular navigation, Inertial navigation system, GPS, Wavelet Analysis, Denoising
REFERENCES:
[1] H. Kunpeng, H. Jitao, and S. Yuping, 'A Novel redundant inertial measurement unit and calibration algorithm,' in Optoelectronics and Microelectronics (ICOM), 2013 International Conference on, 2013, pp. 18-23.
[2] Q. Guo, O. Bebek, M. Cavusoglu, C. Mastrangelo, and D. Young, 'A personal navigation system using MEMS-based highdensity ground reaction sensor array and inertial measurement unit,' in Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), 2015 Transducers-2015 18th International Conference on, 2015, pp. 1077-1080.
[3] A. Leick, L. Rapoport, and D. Tatarnikov, GPS satellite surveying: John Wiley & Sons, 2015.
[4] Y. Gan, L. Sui, J. Wu, B. Wang, Q. Zhang, and G. Xiao, 'An EMD threshold de-noising method for inertial sensors,' Measurement, vol. 49, pp. 34-41, 2014.
[5] N. Ansari and A. Gupta, 'Signal-matched wavelet design via lifting using optimization techniques,' in Digital Signal Processing (DSP), 2015 IEEE International Conference on, 2015, pp. 863-867.
[6] P. Kishore, A. Sastry, A. Kartheek, and S. H. Mahatha, 'Block based thresholding in wavelet domain for denoising ultrasound medical images,' in Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on, 2015, pp. 265-269.
[7] A. Wu, C. Shen, X. Sun, H. Gong, Y. Wei, J. Feng, et al., 'An improved wavelet signal denoising method for TWT,' in Vacuum Electronics Conference (IVEC), 2015 IEEE International, 2015, pp. 1-2.
[8] R. Kokila, S. Gopinathan, and P. Thangavel, 'Wavelet and FFT Based Image Denoising Using Non-linear Filters,' International Journal of Electrical and Computer Engineering (IJECE), vol. 5, 2015.
[9] S. Bhargava and A. Somkuwar, 'Evaluation of Noise Exclusion of Medical Images Using Hybridization of Particle Swarm Optimization and Bivariate Shrinkage Methods,' International Journal of Electrical and Computer Engineering (IJECE), vol. 5, 2015.
