Journal of System Simulation
Abstract
Abstract: To solve the problem of location inaccuracy caused by abnormal error registration, a variable step-size constrained total least squares algorithm is presented. By building a nonlinear function relationship between step size and steps, algorithm step size is relatively large in initial stage and is very small during steady state. So this algorithm can achieve faster convergence rate and smaller steady-state imbalance noise at the same time. This algorithm reduces the convergence steps and improves the stability after convergence. Therefore this algorithm reduces the impact of abnormal error registration on location result. Meanwhile, this algorithm also makes location result more accurate. Theoretical derivation and simulation results show that variable step-size constrained total least squares algorithm is superior to constrained total least squares algorithm. Simulation results also verify the feasibility of the variable step-size constrained total least squares algorithm.
Recommended Citation
Li, Jiaqiang; Zhao, Chunyan; Chen, Jinli; Zhao, Ronghua; and Zhu, Yanping
(2019)
"Variable Step-size Constrained Total Least Squares Algorithm for Space Registration,"
Journal of System Simulation: Vol. 30:
Iss.
10, Article 51.
DOI: 10.16182/j.issn1004731x.joss.201810051
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/51
First Page
4021
Revised Date
2017-01-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201810051
Last Page
4028
CLC
TN953
Recommended Citation
Li Jiaqiang, Zhao Chunyan, Chen Jinli, Zhao Ronghua, Zhu Yanping. Variable Step-size Constrained Total Least Squares Algorithm for Space Registration[J]. Journal of System Simulation, 2018, 30(10): 4021-4028.
DOI
10.16182/j.issn1004731x.joss.201810051
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