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Impact of Decorrelation on Success Rate Bounds of Ambiguity Estimation.

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Title: Impact of Decorrelation on Success Rate Bounds of Ambiguity Estimation.
Authors: Lei Wang1,2 WL1986137@163.com, Yanming Feng1, Jiming Guo2, Wang, Charles1
Source: Journal of Navigation. Sep2016, Vol. 69 Issue 5, p1061-1081. 21p.
Subjects: Decorrelation (Signal processing), Performance of electronics, Global Positioning System, Integer approximations, Mathematical bounds
Abstract: Reliability is an important performance measure of navigation systems and this is particularly true in Global Navigation Satellite Systems (GNSS). GNSS positioning techniques can achieve centimetre-level accuracy which is promising in navigation applications, but can suffer from the risk of failure in ambiguity resolution. Success rate is used to measure the reliability of ambiguity resolution and is also critical in integrity monitoring, but it is not always easy to calculate. Alternatively, success rate bounds serve as more practical ways to assess the ambiguity resolution reliability. Meanwhile, a transformation procedure called decorrelation has been widely used to accelerate ambiguity estimations. In this study, the methodologies of bounding integer estimation success rates and the effect of decorrelation on these success rate bounds are examined based on simulation. Numerical results indicate decorrelation can make most success rate bounds tighter, but some bounds are invariant or have their performance degraded after decorrelation. This study gives a better understanding of success rate bounds and helps to incorporate decorrelation procedures in success rate bounding calculations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Navigation is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Impact of Decorrelation on Success Rate Bounds of Ambiguity Estimation.
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  Data: <searchLink fieldCode="AR" term="%22Lei+Wang%22">Lei Wang</searchLink><relatesTo>1,2</relatesTo><i> WL1986137@163.com</i><br /><searchLink fieldCode="AR" term="%22Yanming+Feng%22">Yanming Feng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jiming+Guo%22">Jiming Guo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Charles%22">Wang, Charles</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Navigation%22">Journal of Navigation</searchLink>. Sep2016, Vol. 69 Issue 5, p1061-1081. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Decorrelation+%28Signal+processing%29%22">Decorrelation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+of+electronics%22">Performance of electronics</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Positioning+System%22">Global Positioning System</searchLink><br /><searchLink fieldCode="DE" term="%22Integer+approximations%22">Integer approximations</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+bounds%22">Mathematical bounds</searchLink>
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  Data: Reliability is an important performance measure of navigation systems and this is particularly true in Global Navigation Satellite Systems (GNSS). GNSS positioning techniques can achieve centimetre-level accuracy which is promising in navigation applications, but can suffer from the risk of failure in ambiguity resolution. Success rate is used to measure the reliability of ambiguity resolution and is also critical in integrity monitoring, but it is not always easy to calculate. Alternatively, success rate bounds serve as more practical ways to assess the ambiguity resolution reliability. Meanwhile, a transformation procedure called decorrelation has been widely used to accelerate ambiguity estimations. In this study, the methodologies of bounding integer estimation success rates and the effect of decorrelation on these success rate bounds are examined based on simulation. Numerical results indicate decorrelation can make most success rate bounds tighter, but some bounds are invariant or have their performance degraded after decorrelation. This study gives a better understanding of success rate bounds and helps to incorporate decorrelation procedures in success rate bounding calculations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Navigation is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1017/S0373463316000047
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        Text: English
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      – SubjectFull: Decorrelation (Signal processing)
        Type: general
      – SubjectFull: Performance of electronics
        Type: general
      – SubjectFull: Global Positioning System
        Type: general
      – SubjectFull: Integer approximations
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      – SubjectFull: Mathematical bounds
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      – TitleFull: Impact of Decorrelation on Success Rate Bounds of Ambiguity Estimation.
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            – D: 01
              M: 09
              Text: Sep2016
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              Y: 2016
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