Title :
The method of multi-sensor time registration
Author :
Huang Xi-feng ; Wu Qin-zhang
Author_Institution :
Inst. of Opt. & Electron., Chinese Acad. of Sci., Chengdu, China
Abstract :
To satisfy performance of time registration, some of multi-sensor registration algorithms are discussed and a least square fitting method based on sliding window is proposed. The polynomial curve is fitted in each sliding window of registration time around using least square. And then, the value of registration time is calculated in this curve to implement aligning the sensor data in time. Compared with the existing algorithms, it is suitable for application in real-time processing because of the adaptability, high precision and easy to realize. At last, simulation results are provided to verify the accuracy and effectiveness of the proposed algorithm.
Keywords :
curve fitting; least squares approximations; sensor fusion; least square fitting method; multisensor registration algorithms; polynomial curve fitting; real-time processing; sliding window; time registration; Fitting; Helium; Kalman filters; Monte Carlo methods; Optics; Polynomials; Signal processing algorithms; fusion center station; least-squares; multi-sensor; time registration;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778230