Symbol Boundary Detection Using Signal-to-Interference Ratio
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Solution Overview
Problem
Inappropriate symbol boundary detection in communication systems leads to reduced signal-to-interference ratio, affecting demodulation performance and throughput due to interference from undesired signals.
Innovation Solution
A method and processor that calculate desired signal power and interference power, determine a signal-to-interference power ratio, and use this ratio to find a reference symbol boundary time for accurate symbol boundary detection and subsequent demodulation, considering both signal peaks and interference impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional symbol boundary detection is performed on receiving signal, then demodulation process can proceed, but signal-to-interference ratio is reduced due to interference from undesired signals
Solution Approach 1:
The patent applies preliminary action by calculating desired signal power and interference power before performing symbol boundary detection. The receiver device computes the signal-to-interference power ratio in advance, identifies peaks in this ratio, and determines symbol boundary times based on these peaks. This preliminary calculation of signal and interference characteristics enables the detection algorithm to locate symbol boundaries more accurately, avoiding regions with high interference and thereby improving demodulation performance.
2Device complexity
If symbol boundary detection is performed without considering interference power, then detection process is simpler, but demodulation performance deteriorates due to inappropriate boundary detection
Solution Approach 1:
The patent applies parameter changes by transforming the detection approach from using only signal power or correlation metrics to using the signal-to-interference power ratio. By calculating both desired signal power and interference power, and forming their ratio, the detection parameter is changed to better reflect the actual quality of signal reception at different time points. This parameter transformation improves boundary detection accuracy without requiring overly complex additional hardware, as it builds upon existing signal processing capabilities.
3Measurement precision
If accurate symbol boundary detection is achieved by considering signal-to-interference power ratio, then demodulation performance improves, but calculation complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the receiving signal into multiple candidate symbol boundary segments or time intervals for evaluation. Instead of attempting to process the entire signal continuously, the method identifies multiple potential boundary points by detecting peaks in the signal-to-interference power ratio across different time segments. This segmentation approach allows the system to achieve high detection precision by evaluating discrete candidate points, thereby reducing the overall computational burden compared to continuous analysis.
Data Source
AI summary
A symbol boundary detection method includes: calculating desired signal power according to a receiving signal by a receiver device; calculating interference power according to the receiving signal by the receiver device; calculating a signal-to-interference power ratio according to the desired signal power and the interference power by the receiver device; finding a best signal-to-interference power ratio to determine a reference symbol boundary time by the receiver device; and processing the receiving signal according to the reference symbol boundary time by the receiver device for a subsequent demodulation process performed by a demodulator circuit.