Journal of Applied Sciences ›› 2013, Vol. 31 ›› Issue (2): 147-153.doi: 10.3969/j.issn.0255-8297.2013.02.007

• Signal and Information Processing • Previous Articles     Next Articles

Weighted Global Least Square Navigation Based on Measurable Image Sequence

ZHANG Xiao-dong1,2, YANG Yuan-xi2, HU Qing-wu3, WANG Yuan-ming2   

  1. 1. School of Surveying and Mapping, PLA Information Engineering University, Zhengzhou 450002, China
    2. Xi’an Institute of Surveying and Mapping, Xi’an 710054, China
    3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2012-06-25 Revised:2012-09-03 Online:2013-03-25 Published:2012-09-03

Abstract:  A measurable sequential images positioning and attitude determination model which considered the coeffient matrix error of observing equation and its weight determination mothod is presented. The method can realize measurable image sequence aided DGPS/IMU navigation with reliable accuracy. Experiment results show that the proposed algorithm can overcome the effects of coefficient matrix errors with accuracy better than the traditional least square method. With the GPS outage in 2.5 km, the position accuracy is better than 13 m and the attitude error is better than 0.1m.

Key words: mobile mapping system, digital measurable sequence images, global least square, position and attitude determination

CLC Number: