SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots
Snapshot GNSS is a more energy-efficient approach to location estimation than traditional GNSS positioning methods. This is beneficial for applications with long deployments on battery such as wildlife tracking. However, only a few snapshot GNSS implementations have been presented so far and all hav...
Main Authors: | , |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Association for Computing Machinery
2021
|
_version_ | 1797062060439240704 |
---|---|
author | Beuchert, J Rogers, A |
author_facet | Beuchert, J Rogers, A |
author_sort | Beuchert, J |
collection | OXFORD |
description | Snapshot GNSS is a more energy-efficient approach to location
estimation than traditional GNSS positioning methods. This is beneficial for applications with long deployments on battery such as wildlife tracking. However, only a few snapshot GNSS implementations have been presented so far and all have disadvantages. Most significantly, they typically require the GNSS signals to be captured with a certain minimum resolution, which demands complex receiver hardware capable of capturing multi-bit data at sampling rates of 16 MHz and more. By contrast, we develop fast algorithms that reliably estimate locations from twelve-millisecond signals that are sampled at just 4 MHz and quantised with only a single bit per sample. This allows us to build a snapshot receiver at an unmatched low cost of $14, which can acquire one position per hour for a year. On a challenging public dataset with thousands of snapshots from real-world scenarios, our system achieves 97% reliability and 11 m median accuracy, comparable to existing solutions with more complex and expensive hardware and higher energy
consumption. We provide an open implementation of the
algorithms as well as a public web service for cloud-based location estimation from low-quality GNSS signal snapshots. |
first_indexed | 2024-03-06T20:40:08Z |
format | Conference item |
id | oxford-uuid:34032024-36fe-4f62-8afe-df5b34e0af41 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T20:40:08Z |
publishDate | 2021 |
publisher | Association for Computing Machinery |
record_format | dspace |
spelling | oxford-uuid:34032024-36fe-4f62-8afe-df5b34e0af412022-03-26T13:23:25ZSnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshotsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:34032024-36fe-4f62-8afe-df5b34e0af41EnglishSymplectic ElementsAssociation for Computing Machinery2021Beuchert, JRogers, ASnapshot GNSS is a more energy-efficient approach to location estimation than traditional GNSS positioning methods. This is beneficial for applications with long deployments on battery such as wildlife tracking. However, only a few snapshot GNSS implementations have been presented so far and all have disadvantages. Most significantly, they typically require the GNSS signals to be captured with a certain minimum resolution, which demands complex receiver hardware capable of capturing multi-bit data at sampling rates of 16 MHz and more. By contrast, we develop fast algorithms that reliably estimate locations from twelve-millisecond signals that are sampled at just 4 MHz and quantised with only a single bit per sample. This allows us to build a snapshot receiver at an unmatched low cost of $14, which can acquire one position per hour for a year. On a challenging public dataset with thousands of snapshots from real-world scenarios, our system achieves 97% reliability and 11 m median accuracy, comparable to existing solutions with more complex and expensive hardware and higher energy consumption. We provide an open implementation of the algorithms as well as a public web service for cloud-based location estimation from low-quality GNSS signal snapshots. |
spellingShingle | Beuchert, J Rogers, A SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title | SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title_full | SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title_fullStr | SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title_full_unstemmed | SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title_short | SnapperGPS -- Algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots |
title_sort | snappergps algorithms for energy efficient low cost location estimation using gnss signal snapshots |
work_keys_str_mv | AT beuchertj snappergpsalgorithmsforenergyefficientlowcostlocationestimationusinggnsssignalsnapshots AT rogersa snappergpsalgorithmsforenergyefficientlowcostlocationestimationusinggnsssignalsnapshots |