GPS Accuracy Prediction System for Real-Time Data Logging
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Solution Overview
Problem
Existing GPS systems lack an accurate real-time estimate of position accuracy, making it difficult to determine if the desired post-processed accuracy has been achieved during data collection, leading to inefficiencies in data collection and site revisits.
Innovation Solution
A system that predicts post-processed accuracy using a look-up table with input variables such as duration since carrier lock acquisition, horizontal dilution of precision, and frequency data, allowing for real-time calculation of the accuracy likely to be achieved after post-processing, enabling optimized data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time accuracy estimates are provided by GPS receivers, then users can make real-time decisions about data collection, but the accuracy estimates do not reliably indicate post-processed accuracy
Solution Approach 1:
The system performs preliminary calculations of post-processed accuracy estimates during real-time data collection. By pre-computing the accuracy that will be achieved after post-processing (using carrier-phase solutions and statistical models), the system enables users to make informed real-time decisions about whether to collect data at a particular location, without needing to wait for actual post-processing to occur.
2Measurement precision
If post-processed differential correction is applied to improve accuracy, then position accuracy improves, but the complexity of the processing system increases
Solution Approach 1:
The system introduces an intermediary accuracy estimation module that sits between the GPS receiver and the user. This module takes the raw GPS data and carrier-phase measurements, applies statistical models and pre-computed correction factors, and outputs a predicted post-processed accuracy estimate. This intermediary layer simplifies the overall system by providing users with accurate predictions without requiring them to understand or implement the complex post-processing algorithms themselves.
3Measurement precision
If data collection continues until desired accuracy is achieved, then measurement precision improves, but data collection time and resources increase
Solution Approach 1:
The system implements a feedback mechanism where the predicted post-processed accuracy is continuously monitored and compared against the user's required accuracy threshold. When the predicted accuracy meets or exceeds the threshold, the system provides feedback to the user that data collection can stop. This real-time feedback loop eliminates unnecessary data collection while ensuring that the required accuracy is achieved, thereby reducing time and resource waste.
Data Source
AI summary
According to embodiments, a method of logging position data is provided. An indication of a desired accuracy value for determining a geographic position is received. A geographic position is then received. A predicted post-processed accuracy value for the received geographic position is then calculated. The desired accuracy value is then compared with the predicted post-processed accuracy value for the received geographic position. When the predicted post-processed accuracy value for the received geographic position is at least as precise as the desired accuracy value, the geographic position is logged.