2017
DOI: 10.1109/taes.2017.2665221
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Exploiting Antenna Motion for Faster Initialization of Centimeter-Accurate GNSS Positioning With Low-Cost Antennas

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Cited by 33 publications
(34 citation statements)
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“…As a result, what used in this study were not the complete tweets generated by Twitter users but their random samples. Furthermore, positioning accuracy of smartphones is reported to be 2-3 m under good multipath conditions and can degrade to 10 m or worse under adverse multipath conditions [57]. Such quality however is good enough for us since this study is mostly related to patterns of tweeting activities.…”
Section: Twitter Datamentioning
confidence: 92%
“…As a result, what used in this study were not the complete tweets generated by Twitter users but their random samples. Furthermore, positioning accuracy of smartphones is reported to be 2-3 m under good multipath conditions and can degrade to 10 m or worse under adverse multipath conditions [57]. Such quality however is good enough for us since this study is mostly related to patterns of tweeting activities.…”
Section: Twitter Datamentioning
confidence: 92%
“…where 2 represents the total noise level, 2 Δ∇ ,Φ 1 A represents the ionospheric delay error of B1, and 2 Δ∇ represents tropospheric delay error. For the short baseline, both ionospheric delay error and tropospheric delay errors are negligible due to strong temporal and spatial correlation.…”
Section: Reduce the Total Noise Level Of Nl Observationsmentioning
confidence: 99%
“…However, GNSS signals are obstructed and reflected by obstacles such as high-rise buildings and tunnels in complex environments, causing serious multipath effects and poor satellite geometry, which have become the great challenge to correctly resolve the integer ambiguity. Severe multipath effects reduce the quality of the observations, and poor satellite geometry increases the correlation between the observations, making it more difficult to search for integer ambiguities, all of which degrade the performance of Ambiguity Resolution (AR) and positioning [2]. Teunissen adopted the "Z" transform to degrade the correlation between the float ambiguities to speed up the fixation of ambiguities, which is known as the Least squares AMBiguity Decorrelation Adjustment (LAMBDA) method [3]; Teunissen and Odolinski also proposed that Multiple GNSS combinations increase the number of available satellites to improve satellite geometry and improve GNSS positioning performance in harsh environments [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…This is true for two reasons. First, for stationary users with low-cost equipment, multipath errors dominate in the carrier-phase measurement and are strongly correlated over 100 seconds or more [3]. Thus, if single-epoch AR fails then a static user may have to wait an unacceptably long time for multipath errors to decorrelate enough to permit AR.…”
Section: Ambiguity Resolution Performance As a Function Of Ionospmentioning
confidence: 99%
“…The model is highly accurate for single-epoch AR, but only approximate for multiple epochs, with accuracy degrading as the data interval lengthens. The model's inaccuracy results from its assumption that overhead satellites remain static from epoch to epoch, which yields pessimistic results for even fairly short data capture intervals (e.g., 30 seconds) [3]. Fully accounting for satellite motion in an analytical model for ADOP is an open problem (presently intractable), which is why ADOP studies that wish to account for satellite motion resort to simulation [3].…”
Section: Ambiguity Resolution Performance As a Function Of Ionospmentioning
confidence: 99%