Reduced Sampling Low Power GPS Receiver
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Solution Overview
Problem
GPS receivers in mobile devices consume significant power to sample and decode GPS signals, leading to reduced battery life and increased energy consumption, as they must remain active for extended periods to maintain location accuracy.
Innovation Solution
Implementing a mobile device with a GPS receiver that samples GPS signals and preprocesses them, then sends the compressed or raw samples to a server for processing, utilizing compressed sensing theory to reduce the number of samples needed and conserve power, allowing the GPS receiver to be powered down between sampling periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS receiver continuously samples and decodes GPS signals to maintain location accuracy, then location determination precision is improved, but power consumption increases
Solution Approach 1:
The GPS receiver operates in periodic sampling intervals rather than continuously. The receiver samples GPS signals at predetermined intervals, allowing it to remain inactive between sampling periods. This periodic operation maintains location accuracy over time while significantly reducing power consumption compared to continuous operation.
Solution Approach 2:
The patent extracts only the essential sampling function from the GPS receiver, separating it from the decoding and processing functions. The receiver samples GPS signals and transmits raw or partially processed data to a server, which performs the computationally intensive decoding and location calculation. This extraction allows the receiver to operate at minimal power during sampling intervals.
2Reliability
If GPS receiver remains active for extended periods to maintain location accuracy, then location determination reliability is improved, but battery life decreases
Solution Approach 1:
The GPS receiver operates in periodic sampling intervals rather than continuously. The receiver samples GPS signals at predetermined intervals, allowing it to remain inactive between sampling periods. This periodic operation maintains location accuracy over time while significantly reducing power consumption compared to continuous operation.
Solution Approach 2:
The patent introduces a server as an intermediary that performs the computationally intensive decoding and location calculation functions. The GPS receiver only needs to sample and transmit raw or partially processed signals, while the server handles the complex processing. This division allows the receiver to maintain reliability with minimal active time, extending battery life.
3Speed
If GPS receiver samples and decodes GPS signals locally, then location determination speed is improved, but power consumption increases
Solution Approach 1:
The patent extracts the computationally intensive decoding and processing functions from the GPS receiver and relocates them to a server. The receiver only performs sampling and basic signal acquisition, then transmits the raw or partially processed data to the server for decoding. This extraction dramatically reduces the power consumption of the receiver while maintaining location determination capability.
Solution Approach 2:
The patent implements a distributed processing architecture where the server acts as a computational copy or extension of the GPS receiver's processing capabilities. Instead of requiring full decoding functionality in each mobile device, the server provides centralized processing that multiple receivers can utilize, reducing the computational burden and power consumption at the mobile device level.
Data Source
AI summary
Some implementations provide low power reduced sampling of global positioning system (GPS) locations. A server may be configured to assist a mobile device in determining a location from a plurality of GPS signal samples and corresponding time stamps provided by the mobile device, such as by identifying a set of possible reference locations, which may be used to calculate a location of the mobile device. In another example, the mobile device may sample GPS signals using a GPS receiver, compress the samples, and provide the compressed samples to the server for processing.