Satellite User Equipment Correlation Windows for Faster Frequency Search
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Solution Overview
Problem
In satellite communication systems, the frequency offset due to satellite movement and distance causes delays and increases the time required to search for the frequency at which the received signal is present, necessitating a method to improve search speed.
Innovation Solution
User equipment generates detection windows with a wide search range by correlating a search signal with received signals at multiple reference frequencies, identifying a target frequency based on the largest correlation value within these windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user equipment searches for frequency by checking all possible frequencies due to frequency offset, then the reliability of signal detection is improved, but the search time increases significantly
Solution Approach 1:
The frequency search range is segmented into multiple detection windows, each centered at different reference frequencies. Instead of searching the entire frequency band uniformly, the system divides the search space into manageable segments (detection windows) and evaluates correlation values within each window. This segmentation allows the system to maintain comprehensive search coverage while reducing the effective search time by focusing on specific frequency regions with higher probability of containing the target signal.
Solution Approach 2:
The system performs preliminary correlation value generation for multiple reference frequencies before final frequency selection. By pre-computing correlation values at different reference frequencies and organizing them into detection windows, the system prepares search results in advance. This preliminary action enables the system to quickly identify the most promising frequency regions without performing exhaustive search from scratch, thereby reducing overall search time while maintaining detection reliability.
2Productivity
If the user equipment uses a narrow search range for frequency, then the search speed is improved, but the probability of missing the target frequency increases
Solution Approach 1:
The frequency search range is segmented into multiple detection windows, each centered at different reference frequencies. Instead of searching the entire frequency band uniformly, the system divides the search space into manageable segments (detection windows) and evaluates correlation values within each window. This segmentation allows the system to maintain comprehensive search coverage while reducing the effective search time by focusing on specific frequency regions with higher probability of containing the target signal.
Solution Approach 2:
The system dynamically adjusts the search range parameter based on correlation value thresholds and detection window results. By changing the search range from a fixed narrow window to an adaptive range that expands based on correlation analysis, the system maintains high search speed for likely frequency regions while expanding coverage when necessary to ensure reliable target frequency detection. This parameter change strategy balances speed and reliability dynamically during the search process.
3Measurement precision
If the user equipment performs comprehensive frequency search across the entire band, then the measurement precision of frequency is improved, but the device complexity increases
Solution Approach 1:
The frequency search range is segmented into multiple detection windows, each centered at different reference frequencies. Instead of searching the entire frequency band uniformly, the system divides the search space into manageable segments (detection windows) and evaluates correlation values within each window. This segmentation allows the system to maintain comprehensive search coverage while reducing the effective search time by focusing on specific frequency regions with higher probability of containing the target signal.
Solution Approach 2:
The system extracts and processes only the most relevant frequency regions based on correlation value analysis. By identifying detection windows with higher correlation values and focusing processing resources on those regions, the system extracts the essential information needed for accurate frequency measurement while avoiding unnecessary processing of low-probability frequency regions. This extraction approach reduces processing complexity while maintaining measurement precision for the target frequency.
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 reduces the number of searches and time required to identify the target frequency, enhancing the efficiency of accessing satellite communication systems.
Implementation Method 1
generating, for each of a plurality of reference frequencies, a plurality of correlation values based on a search signal corresponding to the shared signal and the received signal
Data Source
AI summary
Provided is an operation method of user equipment, the operation method including receiving a received signal including a frequency offset and a shared signal transmitted from a satellite, generating a plurality of correlation values, by correlating a search signal corresponding to the shared signal with the received signal, for each of a plurality of predefined reference frequencies, selecting a first detection window comprising a largest correlation value, among a plurality of detection windows including the plurality of correlation values corresponding to each of the plurality of reference frequencies, and identifying a target frequency for communicating with the satellite by searching a frequency band corresponding to a search width of the first detection window.