Blind Spectrum Scan Using Peak Points for Faster Signal Lock
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Solution Overview
Problem
In wired communication systems, echo cancelers require large hardware volumes due to the small echo power at tap positions, necessitating a reduction in hardware size while maintaining echo processing effectiveness.
Innovation Solution
A blind scan method that adjusts a tuner's center frequency based on rise and drop points within a spectrum block to determine the presence of valid signals, allowing for efficient echo processing without increasing hardware volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a larger echo canceler is used to improve echo processing effectiveness, then the echo processing capability is improved, but the hardware volume increases
Solution Approach 1:
The patent extracts and processes only the significant echo components by identifying peak positions in the frequency spectrum, rather than processing all frequency components uniformly. This selective extraction allows effective echo cancellation with reduced hardware requirements
Solution Approach 2:
The patent applies different processing strategies to different frequency regions - focusing computational resources on frequency bands containing echo signals (identified by peak detection) while ignoring bands without echoes. This local differentiation maintains processing effectiveness while reducing overall hardware volume
2Reliability
If the tuner scans the entire spectrum to ensure complete signal detection, then the signal detection completeness is improved, but the scanning time increases
Solution Approach 1:
The patent performs preliminary peak detection and analysis on the frequency spectrum to identify regions containing signals before conducting detailed scanning. This preliminary action allows the system to focus subsequent scanning efforts only on relevant frequency blocks, significantly reducing total scanning time while maintaining detection completeness
Solution Approach 2:
The patent divides the frequency spectrum into multiple blocks and processes each block independently through peak detection. This segmentation allows parallel processing of different frequency regions and enables the system to quickly identify and focus on blocks containing signals, reducing overall scanning time
Data Source
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AI summary
A blind scan method includes setting a tuner to scan a first spectrum block with a first center frequency as a center and determining whether the first spectrum block comprises a possible signal; adjusting the tuner to scan a second spectrum block with a second center frequency as the center according to a first rise point and a first drop point when it is determined that the first spectrum block comprises the possible signal; and determining whether the second spectrum block comprises a valid signal.