Regularization approach for dynamic resolution of phase integer ambiguity in GPS rapid positioning

被引:0
作者
Duan, Rong [1 ]
Zhao, Xiu-Bin [1 ]
Pang, Chun-Lei [1 ]
Li, Yuan [2 ]
Wu, Shao-Shi [1 ]
机构
[1] Information and Navigation College, Air Force Engineering University, Xi'an
[2] Unit 94153 of PLA, Xianyang
来源
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2015年 / 23卷 / 05期
关键词
Ill-condition; Improved Tikhonov regularization; Integer ambiguity; Singular value decomposition; Success rate;
D O I
10.13695/j.cnki.12-1222/o3.2015.05.012
中图分类号
学科分类号
摘要
In view of the ill-condition of normal matrix which is formed by few epoch observations in GPS rapid positioning, a new ambiguity resolution method was proposed, in which the modified singular value decomposition (SVD) is designed to acquire the accurate singular values of coefficient matrix, which avoids the influence of small singular value disturbance. Then an improved Tikhonov regularization method is proposed, and a regularizer matrix is constructed based on the characteristics of ill-condition matrix and modified SVD. Experimental example shows that, compared with least squares estimation and Tikhonov regularization combining with LAMBDA algorithm, the improved method has reduced the condition number of normal matrix by about 3 orders of magnitude, and has reduced the variance of float ambiguity deviated from true value to 1.04 from the original 41.89. As a result, a more accurate and stable float solution can be quickly obtained only by the L1-frequency data of four epochs, while the success rate is improved to 100%. © 2015, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
引用
收藏
页码:624 / 630
页数:6
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