Soft Decision Demodulation for Wireless Audio Transmission
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Solution Overview
Problem
Conventional wireless headphones experience errors in wireless transmission of audio information due to limitations in communication technologies, leading to repeated re-transmissions and resource wastage, as they rely on hard decision decoding which discards useful information from unsuccessful data packets.
Innovation Solution
Implementing a method that uses soft decision demodulation to consolidate payload estimations from both initial and re-transmitted data packets, weighting them based on quality, and storing only the latest consolidated estimation to improve demodulation accuracy and reduce re-transmission times, while also utilizing error correcting codes for efficient data correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If hard decision decoding is used for data demodulation, then the decoding process is simple and fast, but information from unsuccessfully received data packets is lost and demodulation accuracy decreases
Solution Approach 1:
The patent changes the decoding parameter from hard decision (binary 0/1) to soft decision (multiple levels representing confidence). This allows the system to retain more information from received signals by using multiple amplitude levels instead of simple binary values, thereby improving demodulation accuracy while maintaining reasonable decoding complexity through iterative processing.
2Reliability
If re-transmission is performed for unsuccessfully received data packets, then data accuracy is improved, but transmission time increases and resources are wasted
Solution Approach 1:
Instead of discarding unsuccessfully received data packets, the patent recovers useful information from them by using soft decision decoding. The soft decision values from failed packets are preserved and combined with re-transmitted packets, allowing the system to recover lost information without requiring complete re-transmission, thus reducing time loss while maintaining reliability.
Solution Approach 2:
The patent implements a feedback mechanism where the receiver provides information about received signal quality and confidence levels to the transmitter. This feedback allows the system to optimize re-transmission strategies, adjust modulation schemes, and combine multiple received versions of the same data efficiently, reducing overall transmission time while ensuring reliability.
3Measurement precision
If multiple re-transmissions are performed to ensure accurate reception, then data accuracy is improved, but memory resources are consumed and efficiency decreases
Solution Approach 1:
The patent merges information from multiple received data packets including unsuccessfully received ones. By combining soft decision values from multiple transmissions of the same data, the system achieves higher accuracy without storing complete copies of all re-transmitted packets, thus optimizing memory resource usage while maintaining high reception accuracy.
Data Source
AI summary
Embodiments of systems and methods for wireless communication are disclosed. The method includes receiving a first payload, corresponding to original data, and demodulating a first payload estimation based on making a first soft decision of the first payload. The method also includes demodulating a second payload estimation based on making a second soft decision of the second payload and determining a first consolidated payload estimation based on consolidating the first payload estimation and the second payload estimation.