Satellite Position Detection via Discovery Probability Prioritization
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Solution Overview
Problem
Current position detection systems using satellite signals face challenges in narrowing down the search range for satellite selection, leading to increased power consumption and maintenance costs due to prolonged operation times and inefficient calculation processes.
Innovation Solution
The implementation of a snapshot positioning technique, where a sensor terminal operates briefly to capture code phase and Doppler frequency data, which is then used by a relay device and cloud-based calculation to determine the initial position, while prioritizing satellites with higher discovery probabilities based on Doppler frequency correlations, reducing unnecessary calculations and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite signals are captured using conventional search methods, then position detection can be performed, but the search range is not narrowed down efficiently, leading to increased power consumption and longer operation times
Solution Approach 1:
The system performs preliminary actions by calculating discovery probabilities for multiple satellites before actual signal capture. This pre-calculation identifies which satellites are most likely to be discovered, allowing the sensor terminal to focus its capture efforts on a narrowed-down subset of satellites rather than searching all possible satellites, thereby reducing power consumption while maintaining position detection accuracy
Solution Approach 2:
The invention changes the parameter of satellite selection from uniform probability to probability-based selection. By introducing discovery probability as a weighting parameter calculated from relative position information, the system prioritizes satellites with higher discovery probabilities, making the search process more efficient and reducing the time and energy required for position detection
2Reliability
If all satellites are searched for position detection, then comprehensive coverage is achieved, but the initial fix time is prolonged and maintenance costs increase
Solution Approach 1:
The system transforms the satellite search process by introducing discovery probability as a dynamic parameter. Instead of treating all satellites equally, the system calculates and uses discovery probabilities to prioritize satellites that are more likely to yield successful captures, significantly reducing the time required to achieve the necessary number of satellite fixes while maintaining reliable position detection
Solution Approach 2:
Before conducting the actual satellite signal capture, the system performs preliminary calculations to determine discovery probabilities for all candidate satellites. This preliminary action creates a prioritized search sequence that guides the capture process, ensuring that satellites most likely to be discovered are searched first, thereby minimizing initial fix time without compromising detection reliability
3Productivity
If conventional satellite search methods are used, then all satellites can be detected, but unnecessary calculations increase processing load and power consumption
Solution Approach 1:
The system extracts and utilizes relative position information between satellites to calculate discovery probabilities. By extracting this key information and using it to filter and prioritize the satellite search list, the system eliminates unnecessary calculations on satellites with low discovery probabilities, reducing processing load and energy consumption while maintaining comprehensive detection capability for satellites that matter
Solution Approach 2:
The invention introduces discovery probability as a filtering parameter that transforms the satellite search from a brute-force approach to a targeted approach. By applying this parameter, the system dynamically adjusts the search priority of each satellite, focusing computational resources on high-probability targets and avoiding wasted calculations on low-probability satellites, thereby improving overall detection efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces the search range for satellite selection, minimizes power consumption, and shortens the initial fix time by focusing on satellites with higher capture probabilities, thereby enhancing the efficiency and reducing maintenance costs of the position detection system.
Implementation Method 1
capture code phase and Doppler frequency data
Data Source
AI summary
A position detection method to be executed by a computer, the position detection method includes transmitting, by a sensor terminal, a signal obtained by performing capture processing on a satellite signal from a satellite of a search target according to an order of the satellites of the search targets; calculating, by a calculation device, a position of the sensor terminal based on a signal transmitted by the sensor terminal; and determining a satellite having a highest discovery probability based on a specific estimation method for second and subsequent search targets, using an index which is reflected larger as the discovery probability of other satellites is higher or lower, in a case where the first satellite is captured when a first search target is determined.