A geometry-free and ionosphere-free multipath mitigation method for BDS three-frequency ambiguity resolution

Chen, Dezhong; Ye, Shirong; Xia, Jingchao; Liu, Yanyan; Xia, Pengfei

doi:10.1007/s00190-016-0903-z

Cited by 21 publications

(14 citation statements)

References 21 publications

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“…EWL ambiguity can be reliably resolved by previous studies [4,6,7], but rapid and reliable WL and NL ambiguity resolution is still challenging because of both ionospheric bias and the combined observation noise [6]. Therefore, the proposed TCAR method focuses on finding a better WL and NL combination method to eliminate ionospheric bias and restrict combined observation noise simultaneously.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, the comparison between GFIF and IFVR is made to demonstrate the necessity of restricting the combinational noise level. The method consists of three cascaded steps, whose combined observations for each step are selected as EWL (φ (0,−1,1) − p(0,1,1)), WL (φ (1,4,−5) − p(1,1,1)), and NL (a1 φ − 0,0)), of which a is corresponding combined factors, referred to by [7,17]. Note that the LAMBDA algorithm is used for the ambiguity resolution of IFVR, GFIF, and GBIR, in which the …”

Section: Performance Of Ambiguity Resolutionmentioning

confidence: 99%

“…The triple-carrier ambiguity resolution (TCAR) method proposed by the authors of [2,3] is one of the widely-used approaches for resolving the triple-frequency ambiguity in a short baseline case so that the ionospheric error can be neglected. When the ionospheric bias cannot be neglected, especially in medium and long baseline cases, much research has also been done to improve its performance [4][5][6][7]. A common conclusion is that both the ionospheric bias and combined observation noise are two crucial factors for the reliability of TCAR [4,8].…”

Section: Introductionmentioning

confidence: 99%

“…The ionosphere-free combination ensures the absence of ionospheric bias, but the combined observation noise is largely amplified, which will worsen ambiguity resolution performance [18,19]. Therefore, a moving average method has to be used to restrict the effect of combined observation noise [7,13,17,20,21]. Furthermore, the ionosphere-reduced combination can also be applied because it is in essence a trade-off between the ionospheric effect reduction and observation variance restriction.…”

Section: Introductionmentioning

confidence: 99%

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Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

Chun

Zhao

et al. 2017

Remote Sensing

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Abstract:The ionospheric bias and the combined observation noise are two crucial factors affecting the reliability of the triple-carrier ambiguity resolution (TCAR). In order to obtain a better reliability of TCAR, a new ionosphere-free and variance-restricted TCAR method is proposed through exploring the ambiguity link between each step of TCAR. The method constructs an ionosphere-free combination and simultaneously restricts the combined observation noise with respect to the wavelength to a sufficiently low level for each step of TCAR. The performance of the proposed method is tested by the datasets from the BeiDou navigation satellite system (BDS), with the baseline varying from 7.7 km to 68.8 km. Comparing with the state-of-the-art TCAR methods, the experimental results indicate that the proposed method can obtain a better performance of ambiguity resolution, even though the double-differenced ionospheric delay increases up to 72.4 cm at the baseline of 68.8 km.

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Section: Methodsmentioning

confidence: 99%

Section: Performance Of Ambiguity Resolutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

Chun

Zhao

et al. 2017

Remote Sensing

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“…With the ODSF algorithm applying corrections to the measurements themselves, there is no reason why it could not be adapted to cope with the di erent ground-track repeat times of these systems, if there is no signi cant change to the environment surrounding an antenna. Indeed, this has been demonstrated for BeiDou in Ye et al (2015) and Chen et al (2016), but only in the context of short-baseline positioning using double-di erenced measurements, not in PPP processing for a single receiver.…”

Section: Future Development Of the Odsf Algorithmmentioning

confidence: 99%

Performance of GPS sidereal filters during a satellite outage

Atkins

Ziebart

2017

Journal of Geodetic Science

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Sidereal ltering is the name of a technique used to reduce the e ect of multipath interference on a GPS position time series associated with a static or quasi-static antenna. This article assesses the impact of a GPS satellite outage on the performance of a sidereal lter. Two different types of sidereal lter are tested: a position-domain sidereal lter (PDSF) and an observation-domain sidereal lter (ODSF). A satellite outage is simulated at two static receivers with contrasting antenna types and multipath environments. At both stations, the ODSF is more e ective than a PDSF at removing multipath error over averaging intervals under around 200 seconds in length whether there is an outage or not. However, di erence in the performance of the two types of sidereal lter was much more signi cant at the station more prone to multipath interference. The results are particularly relevant for applications where high-rate precise point positioning (PPP) is used for monitoring: If a PDSF is applied, then errors due to highfrequency multipath interference may still alias into the resulting position time series if a satellite outage occurs and possibly increasing the false alarm rate. In contrast, an ODSF is likely to perform better in such circumstances.

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Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

Siridhara

Ratnam

2019

Trans Emerging Tel Tech

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Research interest in Global Navigation Satellite System (GNSS) is increasing in the past few years due to its wide applicability in many application-oriented environments, such as automobile navigation system and aircraft landing system. Global Positioning System (GPS) is one of the GNSSs having high precision navigation performance. Multipath is a dominant error source that occurs in several GPS applications, limiting the performance. To reduce the multipath effects of satellite signals, an effective multipath mitigation technique is required. This paper introduces the Taylor series-based bidirectional least mean square (Taylor-BLMS) beamforming model for the multipath mitigation problems occurring in the GPS receiver. The performance metrics, such as antenna gain and bit error rate (BER), measure the performance of the proposed Taylor-BLMS model against various comparative models. For the system with six sensors, the proposed Taylor-BLMS model has the best performance with the values of 23.460 dB and 4.78E−05 for the antenna gain and the BER, respectively. For the system with 1 jammer, the proposed Taylor-BLMS model has the antenna gain and the BER values of 22.2828 dB and 3.69E−05, respectively. Trans Emerging Tel Tech. 2019;30:e3760. wileyonlinelibrary.com/journal/ett

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A geometry-free and ionosphere-free multipath mitigation method for BDS three-frequency ambiguity resolution

Cited by 21 publications

References 21 publications

Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

Performance of GPS sidereal filters during a satellite outage

Multipath mitigation in GPS receiver using Taylor integrated bidirectional least mean square algorithm

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