Wireless Receiver Error Correction Priority by Signal Quality
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Solution Overview
Problem
Conventional wireless receivers equipped with wireless communication components struggle to properly correct errors in broadcast signals, particularly due to an overemphasis on random error correction, which fails to effectively handle other types of errors.
Innovation Solution
A wireless receiver and transmitter system that includes both Viterbi code and Reed-Solomon code for error correction, with a controller determining which type of error correction to prioritize based on signal quality, allowing for dynamic adjustment of error correction information to address various error types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large amount of error correction information for random errors is included, then random error correction capability is improved, but error correction for other types of errors cannot be carried out properly
Solution Approach 1:
The error correction information is segmented into two distinct types: first error correction information (e.g., Viterbi code) for random errors, and second error correction information (e.g., Reed-Solomon code) for other error types such as burst errors. This segmentation allows the system to provide dedicated correction capabilities for different error categories without one type overwhelming the other.
Solution Approach 2:
The system dynamically adjusts the ratio of first to second error correction information based on the signal quality of the received wireless signal. When signal quality is good, more first error correction information is used; when signal quality deteriorates, the ratio shifts to include more second error correction information. This dynamic adjustment ensures optimal error correction performance across varying channel conditions.
2Reliability
If the ratio of broadcast data is adjusted to include more error correction information, then error correction capability is improved, but transmission efficiency deteriorates
Solution Approach 1:
The controller dynamically adjusts the ratio of broadcast data to error correction information based on signal quality conditions. When signal quality is good, the system uses a higher ratio of broadcast data to error correction information, maintaining high transmission efficiency. When signal quality deteriorates, the system increases the error correction information ratio to ensure reliable error correction, thus optimizing the balance between transmission efficiency and reliability under different conditions.
Solution Approach 2:
The system changes the parameter of error correction information ratio (the proportion of first and second error correction information) according to signal quality measurements. This parameter adjustment allows the system to adapt the amount of error correction overhead dynamically, ensuring sufficient error correction capability only when necessary, thereby maintaining high transmission efficiency during good signal conditions.
3Device complexity
If fixed error correction information is used, then device complexity is reduced, but adaptability to different signal quality conditions deteriorates
Solution Approach 1:
The system implements dynamic adjustment of error correction information ratios based on real-time signal quality assessment. The controller monitors signal quality metrics and automatically adjusts the proportion of first and second error correction information accordingly, enabling the system to adapt to varying signal conditions without requiring complex manual configuration or multiple fixed systems.
Solution Approach 2:
The error correction system is designed with multi-functionality by incorporating two types of error correction information that can serve different error types and signal conditions. This universal approach allows a single system to handle both random errors and other error types effectively, as well as adapt to different signal quality conditions, without requiring separate dedicated systems for each scenario.
Data Source
AI summary
A wireless receiver includes a wireless communication component and a controller. The wireless communication component receives from a wireless transmitter a wireless signal that includes content data and encoded data having first error correction information and second error correction information of a different type from that of the first error correction information, for correcting errors in the content data. The controller determines which of the first error correction information and the second error correction information is to be given priority based on the signal quality of the wireless signal.