Symbol-Level Signal Processing Using Previous-Symbol Channel Estimation
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Solution Overview
Problem
Current wireless communication systems face challenges in reducing signal processing delay and managing increased storage requirements due to the need for symbol-level processing at the timeslot level, which extends processing latency and demands more storage space.
Innovation Solution
A signal processing method that performs processing on received data symbols using a first channel estimation value obtained from a previous signal symbol, allowing for immediate processing without waiting for all symbols in a timeslot, thereby reducing latency and storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If symbol-level processing is performed at the timeslot level by aggregating all symbol data, then processing completeness is improved, but signal processing delay increases
Solution Approach 1:
The patent segments the timeslot-level processing into individual symbol-level processing units. Each received symbol is processed independently using its own channel estimation value, rather than waiting to aggregate all symbols. This segmentation enables parallel processing and eliminates the waiting time inherent in batch processing, thereby reducing signal processing delay while maintaining processing completeness.
Solution Approach 2:
The patent performs preliminary channel estimation for each symbol as it is received, rather than performing channel estimation after aggregating all symbols. By preparing the channel estimation value in advance for each symbol, the system enables immediate processing of each symbol without waiting for the complete timeslot, thus reducing processing delay while ensuring accurate processing.
2Measurement precision
If all symbol data within a timeslot is aggregated before processing, then processing accuracy is improved, but storage space requirement increases
Solution Approach 1:
The patent divides the processing into independent symbol units, each with its own channel estimation value. Instead of storing all symbols in a timeslot for batch processing, the system processes each symbol individually with its corresponding channel estimation data. This segmentation reduces the amount of data that needs to be stored simultaneously, lowering storage space requirements while maintaining processing accuracy through dedicated channel estimation for each symbol.
Solution Approach 2:
The patent extracts and processes each symbol individually with its specific channel estimation value, rather than keeping all symbols together for storage. By extracting the essential processing elements (current symbol and its channel estimation) and discarding the need to retain other symbols, the system achieves accurate processing with minimal storage requirements.
3Device complexity
If processing units operate at the timeslot level, then system complexity is reduced, but processing speed decreases
Solution Approach 1:
The patent transitions from a static timeslot-level processing model to a dynamic symbol-level processing model. Each symbol is processed as soon as it is received, with dynamic channel estimation performed for each symbol. This dynamic approach enables the system to adapt to each symbol's specific characteristics and process them in real-time, significantly improving processing speed while managing complexity through standardized processing blocks.
Solution Approach 2:
The patent changes the fundamental processing parameter from timeslot duration to individual symbol duration. By operating at the symbol level rather than the timeslot level, the system can process data at a finer granularity, enabling faster processing rates. The channel estimation parameter is also changed to be symbol-specific rather than timeslot-wide, allowing more frequent and accurate updates.
Data Source
AI summary
The present application discloses a signal processing method, an electronic device, a storage medium, and a program product. The signal processing method comprises: when a data symbol in a signal stream is received, performing signal processing according to the data symbol and a first channel estimation value to obtain a demodulated data symbol, wherein the first channel estimation value is obtained according to a previous signal symbol of the data symbol.