Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
47. TSVD Regularization with Ill-Conditioning Diagnosis in GNSS Multipath Estimation
verfasst von : Qingming Gui, Ke Chen, Yongwei Gu
Erschienen in: Proceedings of 2013 Chinese Intelligent Automation Conference
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Multipath is one of the main error sources of the differential applications of global positioning systems (GPS). The maximum likelihood estimation of multipath is simplified with grid method using the idea of deploying estimation points. There is ill-conditioning in the simplified model, decreasing the numerical stability of the maximum likelihood estimation grid maximum likelihood estimation in some conditions. The truncated singular value decomposition (TSVD) regularization with ill-conditioning diagnosis is introduced to mitigate the effects of ill-conditioning. The truncation level is selected based on ill-conditioning diagnosis by comparing the values of the diagnosis statistics of the estimation under different truncation level. TSVD regulation with the truncation level selected in ill-conditioning diagnosis approach can resist the ill-conditioning effectively and the estimation is numerical stable. The multipath effect can be effectively mitigated by the method proposed in this paper.