Adaptive Cyclic Prefix Removal for Multipath Signal Integrity
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Solution Overview
Problem
In complex multipath environments, existing 4G wireless communication systems face inter-symbol interference (ISI) due to the fixed cyclic prefix (CP) size, leading to degraded demodulation performance.
Innovation Solution
A received signal processing method that determines the range of symbol data in the time domain, conducts signal integrity evaluation, and extracts signal data to ensure complete multipath data is processed, avoiding ISI by identifying multipath stable time points and discarding data that does not meet signal integrity requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed cyclic prefix size is used in 4G wireless communication systems, then the system structure is simple and easy to implement, but inter-symbol interference occurs in multipath environments leading to degraded demodulation performance
Solution Approach 1:
The patent applies dynamics by making the cyclic prefix removal point adaptive rather than fixed. The receiving device dynamically determines the starting position for removing the cyclic prefix based on detected multipath stable time points, allowing the system to adapt to varying channel conditions while maintaining a fixed CP size structure. This resolves the contradiction by enabling performance adaptation without structural complexity.
Solution Approach 2:
The patent changes the parameter of CP removal position from a fixed value to a dynamically determined value based on signal characteristics. By detecting multipath stable time points and using them to determine the optimal CP removal position, the system adjusts this critical parameter to match channel conditions, thereby improving demodulation performance in multipath environments while keeping the overall system structure simple.
2Productivity
If a fixed number of sampling points are removed according to fixed CP size, then the processing is simple and fast, but the received signal becomes mixed with data from previous or next symbols in multipath environments
Solution Approach 1:
The patent applies preliminary action by detecting multipath stable time points before performing the actual FFT processing. This preliminary detection step identifies the correct starting position for CP removal, ensuring that subsequent signal processing operates on clean, uncontaminated data. The preliminary detection prevents symbol mixing before it occurs, maintaining both processing efficiency and data accuracy.
Solution Approach 2:
The patent replaces the mechanical fixed-position CP removal approach with a signal-characteristic-based determination method. Instead of blindly removing a fixed number of sampling points, the system uses signal detection and analysis to identify the optimal removal position, substituting rigid mechanical processing with adaptive signal-aware processing that maintains accuracy without sacrificing speed.
3Reliability
If signal integrity evaluation is conducted to identify multipath stable time points, then ISI is avoided and receiving performance is improved, but the processing complexity increases
Solution Approach 1:
The patent applies self-service by enabling the receiving device to autonomously detect multipath stable time points and determine the optimal CP removal position without external assistance or complex centralized control. The system uses its own received signal to perform detection and determination, making the complexity management self-contained and avoiding the need for additional complex infrastructure or coordination mechanisms.
Solution Approach 2:
The patent implements feedback by using the detected signal characteristics (multipath stable time points) to adjust and optimize the CP removal position. The detection results feed back into the processing pipeline to determine the optimal starting position, creating a closed-loop system that automatically adapts to channel conditions. This feedback mechanism improves receiving performance while keeping the complexity localized to the detection and adjustment process.
Data Source
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AI summary
The present invention provides a received signal processing method. The method includes: determining a range of symbol data in a received signal in a time domain; conducting signal integrity evaluation on the received signal within the range of the symbol data; and extracting signal data from the range of the symbol data according to a result of the signal integrity evaluation. The present invention also provides an apparatus, receiving device and storage medium. According to the technical solution of the application, the ISI in the multipath environment can be avoided and the receiving performance of the receiving device is improved.