Differential vector phase locked loop GPS reception method

• US 10,534,087 B1
• Filed: 05/31/2016
• Issued: 01/14/2020
• Est. Priority Date: 05/31/2015
• Status: Active Grant

• Current Assignee: US Department of The Air Force (U.S. Department Of Defense)
• Original Assignee: United States Of America As Represented By The Secretary Of The Air Force
• Inventors: Brewer, James J, Raquet, John F
• Primary Examiner(s): Gregory, Bernarr E
• Assistant Examiner(s): Mull, Fred H
• Application Number:
  US15/169,686
• Time in Patent Office: 1,323 Days
• CPC Class Codes: G01S 19/04 providing carrier phase data
• CPC Class Codes: G01S 19/05 providing aiding data
• CPC Class Codes: G01S 19/256 relating to timing, e.g. time of week, code phase, timing offset
• CPC Class Codes: G01S 19/29 carrier including Doppler, related G01S19/246 takes precedence
• CPC Class Codes: G01S 19/41 Differential correction, e.g. DGPS [differential GPS]
• CPC Class Codes: G01S 19/43 using carrier phase measurements, e.g. kinematic positioning; using long or short baseline interferometry
• CPC Class Codes: G01S 19/44 Carrier phase ambiguity resolution; Floating ambiguity; LAMBDA [Least-squares AMBiguity Decorrelation Adjustment] method
• CPC Class Codes: G01S 19/47 the supplementary measurement being an inertial measurement, e.g. tightly coupled inertial
• CPC Class Codes: G01S 19/51 Relative positioning

Abstract

A method for enhancing GPS location accuracy includes providing a base station receiver having a known surveyed location, and a roving receiver at a location distinct from the base station receiver. The method further includes receiving single-frequency code and carrier-phase measurements from the base station, and translating the single-frequency code and carrier-phase measurements to a Kalman filter-predicted location of the roving receiver. The translated single frequency code and carrier phase measurements are used to generate a local replica of the Kalman filter-predicted location signals for each channel of the roving receiver. The method further includes correlating the local replicas with an incoming signal of the roving receiver to generate a plurality of tracking error estimates. The plurality of tracking error estimates are used to update navigation states and clock update states thereof. The method also includes estimating delta tb1 and discarding local channel information prior to performing subsequent iterations.

Claims

1. A method for enhancing GPS location accuracy, the method comprising:

providing a base station receiver having a known surveyed location;

providing a roving receiver at a location distinct from the base station receiver;

receiving single-frequency code and carrier-phase measurements from the base station;

translating the single-frequency code and carrier-phase measurements to a Kalman filter-predicted location of the roving receiver;

using the translated single frequency code and carrier phase measurements to generate a local replica of signals corresponding to the Kalman filter-predicted location for each channel of the roving receiver;

correlating the local replicas with an incoming signal of the roving receiver to generate a plurality of tracking error estimates;

using the plurality of tracking error estimates to update a plurality of navigation states and a plurality of clock update states thereof;

estimating Δ

t_B1 defined by the difference of an initial time offset between a local Kalman filter optimum and a time offset of a global optimum; and

discarding local channel information prior to performing subsequent iterations.

2. The method of claim 1, wherein the roving receiver includes stored values of a plurality of frequencies and a plurality of codes, and wherein a plurality of local replicas of the Kalman filter-predicted locations signals are applied to each of the plurality of frequencies.

3. The method of claim 2, wherein the step of translating the single-frequency code and carrier-phase measurements to a Kalman filter-predicted location of the roving receiver includes the steps of:

creating an estimate of a time bias of a wave that would have passed the base station using an estimate of time and frequency offsets between the rover and the base station, a difference in range to a satellite between the rover and the base station, and a difference in modelled atmospheric errors for the rover and the base station;

interpolating the base station'"'"'s phase measurements using the time bias; and

correcting the interpolated phase for a center frequency of the satellite and a mixing frequency of the receiver.

4. The method of claim 2, wherein the step of using the tracking error estimates to update the plurality of navigation states and the clock update states includes the steps of:

creating rows of H using

5. The method of claim 2, wherein estimating Δ

t_B1 includes the steps of;

allowing a navigation filter to settle on a local maximum for the Δ

t_B1;

using in-phase early, prompt, and late correlator estimates in