SDAR Receiver Memory Optimization via Selective Data Extraction
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Solution Overview
Problem
Current satellite digital audio radio (SDAR) systems face challenges in managing memory requirements to handle increased data density, particularly when adding group-specific data, which can lead to reduced tolerance for signal outages without data loss.
Innovation Solution
The method involves selecting and storing only relevant portions of group-specific data in SDAR receivers, reducing memory requirements by identifying predetermined time locations within SDAR signals for group-specific data and combining them with universal data to create output signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If group-specific data is added to increase data density, then data relevance and information value are improved, but memory requirements increase
Solution Approach 1:
The patent extracts and stores only the relevant portions of group-specific data that pertain to the particular receiver group, rather than storing all transmitted data. This selective extraction reduces memory requirements while maintaining data relevance for the target audience.
Solution Approach 2:
The patent implements local quality by tailoring the stored data to specific receiver groups based on their characteristics. Different receiver groups store different portions of group-specific data according to their relevance, optimizing memory usage for each group's specific needs.
2Device complexity
If memory capacity is reduced to lower costs, then device complexity and cost are improved, but tolerance for signal outage duration decreases
Solution Approach 1:
By extracting and storing only the essential relevant data portions rather than all data, the system reduces memory capacity requirements while maintaining sufficient data to bridge typical signal outages. This selective storage approach extends outage tolerance within constrained memory limits.
Solution Approach 2:
The patent changes the parameter of data storage by storing data in condensed formats and selectively storing only relevant portions. This parameter change allows the system to maintain longer effective outage tolerance with reduced memory capacity through efficient data representation.
3Reliability
If all data is stored to ensure complete data availability, then data integrity is improved, but memory requirements and cost increase
Solution Approach 1:
The patent extracts and stores only the relevant portions of data that are necessary for particular receiver groups, rather than storing all transmitted data. This ensures data availability for the target audience while reducing memory requirements by eliminating redundant or irrelevant data storage.
Solution Approach 2:
Different receiver groups have different data availability requirements based on their group characteristics. The patent implements local quality by tailoring the stored data portions to each group's specific needs, ensuring adequate data availability for reliability while optimizing memory usage for each group's particular requirements.
Data Source
AI summary
A method of communicating data in a satellite digital audio radio (SDAR) system includes transmitting two radio frequency digital signals to a SDAR receiver within a motor vehicle. The two signals include substantially identical information. Each signal includes universal data, and also group-specific data that may or may not be relevant to the particular receiver. The group-specific data is located in a predetermined time location within the signals. This method includes combining the group-specific data from one of the two signals with group-specific data from the other signal to create a group-specific output signal. Similarly, the universal data from one of the two signals is combined with universal data from the other signal to create a universal output signal.