IP Library Granted Patent US 10,578,747
Granted Patent B2
US 10,578,747 · App. 16/219,119 · Granted Mar 3, 2020

Systems and methods for reduced-outlier satellite positioning

Inventors: Paul Grgich (Hermosa Beach, CA); Matt Peddie (Brisbane, AU)
Assignee: Swift Navigation, Inc.
G01S19/40G01S19/20G01S19/42G06F17/18
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Quick Facts
Patent No.
US 10,578,747
App. No.
16/219,119
Granted
Mar 3, 2020
Kind
B2
Abstract

A method for reduced-outlier satellite positioning includes receiving a set of satellite positioning observations at a receiver; generating a first receiver position estimate; generating a set of posterior observation residual values from the set of satellite positioning observations and the first receiver position estimate; based on the set of posterior observation residual values, identifying a subset of the satellite positioning observations as statistical outliers; and after mitigating an effect of the statistical outliers, generating a second receiver position estimate having higher accuracy than the first receiver position estimate.

Claims (23)

1. A method for reduced-outlier satellite positioning of a Global Navigation Satellite System (GNSS) receiver comprising:

receiving a set of satellite positioning observations at the GNSS receiver;

generating a first receiver position estimate from the set of satellite positioning observations;

generating a set of posterior observation residual values from the set of satellite positioning observations and the first receiver position estimate;

based on the set of posterior observation residual values, identifying a subset of the satellite positioning observations as statistical outliers using a hybrid technique;

mitigating an effect of the statistical outliers; and

after mitigating the effect of the statistical outliers, generating a second receiver position estimate having higher accuracy than the first receiver position estimate, wherein the higher accuracy is a result of mitigating the effect of the statistical outliers.

2. The method of claim 1 , wherein identifying the subset of the satellite positioning observations as statistical outliers comprises using the hybrid technique; wherein using the hybrid technique comprises:

generating a set of posterior observation residual covariances from the set of posterior observation residual values;

calculating a set of posterior observation residual variances from the set of posterior observation residual covariances; and

detecting outliers using a variance threshold technique when a number of posterior observation residual variances outside of a threshold range is greater than a threshold number and using a scaled residual technique when the number of posterior observation residual variances outside of the threshold range is less than or equal to the threshold number.

3. The method of claim 2 , wherein the threshold range is centered on a mean of the set of posterior observation residual values; wherein a size of the threshold range is set based on a distribution of the set of posterior observation residual values.

4. The method of claim 2 , wherein mitigating the effect of the statistical outliers comprises removing the statistical outliers from the set of satellite positioning observations to create a reduced-outlier set of satellite positioning observations, and generating the second receiver position estimate from the reduced-outlier set of satellite positioning observations.

5. A method for reduced-outlier satellite positioning of a Global Navigation Satellite System (GNSS) receiver comprising:

receiving a set of satellite positioning observations at the GNSS receiver;

generating a first receiver position estimate from the set of satellite positioning observations;

generating a set of posterior observation residual values from the set of satellite positioning observations and the first receiver position estimate;

based on the set of posterior observation residual values, identifying a subset of the satellite positioning observations as statistical outliers;

generating a set of posterior observation residual covariances from the set of posterior observation residual values;

calculating a set of posterior observation residual variances from the set of posterior observation residual covariances; and

detecting the statistical outliers using a variance threshold technique when a number of posterior observation residual variances outside of a threshold range is greater than a threshold number and using a scaled residual technique when the number of posterior observation residual variances outside of the threshold range is less than or equal to the threshold number;

mitigating an effect of the statistical outliers; and

generating a second receiver position estimate, wherein the second receiver position estimate has a higher accuracy than the first receiver position estimate, wherein the higher accuracy is based on mitigating the effect of the statistical outliers.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 6, 2019
From: GRGICH, PAUL; PEDDIE, MATT
To: SWIFT NAVIGATION, INC.
Reel/Frame 048253/0745 →
Continuity (2)
Provisional Application 62598826 · Dec 14, 2017
Related Publication 20190187298A1 · Jun 20, 2019
Cited By (9)
US 12,216,211 US 12,235,341 US 12,366,666 US 12,442,929 US 12,498,493 US 12,578,482 US 12,656,506 US 12,699,188 US 12,710,553