Frequency-Domain RF Compression Using Entropy-Coded Spectral Bins
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current modem technology is limited by the available bandwidth for transporting data and signals, as existing methods transmit complex I/Q data with fixed resolution, leading to inefficiencies due to redundant information in RF signals, particularly in frequency bins with little energy.
Innovation Solution
Converting time-domain RF signals into frequency-domain representations and applying entropy encoding to reduce data transmission, with optional weighting and elimination of non-essential frequency components to achieve a more efficient data representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex-valued I/Q data with fixed resolution is transmitted, then signal fidelity is maintained, but data transmission bandwidth is excessively consumed
Solution Approach 1:
The patent segments the frequency spectrum into multiple bins and processes each bin independently. By identifying that most frequency bins contain only noise or minimal energy, the system can apply different transmission strategies to different segments, transmitting full-resolution data only for significant frequency components while reducing or eliminating transmission for negligible ones.
Solution Approach 2:
The patent applies local quality by varying the transmission resolution based on the local characteristics of each frequency bin. Frequency bins with significant energy content maintain high-resolution complex-valued I/Q data transmission, while bins with minimal energy or noise-only content are transmitted with reduced resolution or eliminated entirely, optimizing the overall data transmission efficiency.
2Loss of information
If all frequency bins are transmitted with uniform resolution, then complete spectral information is preserved, but redundant information increases data volume
Solution Approach 1:
The patent dynamically changes the transmission parameters (resolution and data format) based on the energy content of each frequency bin. By adjusting the word length and data representation format according to the local signal characteristics, the system eliminates redundant information transmission while preserving essential spectral information.
Solution Approach 2:
The patent applies partial action by selectively transmitting data for only those frequency bins that contain significant information, rather than uniformly transmitting all bins. This approach transmits sufficient data to capture the essential spectral characteristics while omitting redundant transmissions of noise-dominated bins.
3Ease of operation
If fixed word length is used for all signal components, then processing simplicity is maintained, but transmission efficiency is reduced
Solution Approach 1:
The patent introduces dynamic adaptation in the transmission system by varying the word length and data format based on the signal characteristics of each frequency bin. This dynamic approach replaces the static fixed-word-length scheme, allowing the system to optimize transmission efficiency for each local condition while maintaining manageable processing complexity through systematic classification and encoding.
Data Source
Figure 1
Figure 2A~2C
Figure 3
AI summary
An apparatus (100) according to an embodiment of the present invention for providing a reduced representation (150) in a frequency-domain, based on a time-based RF signal (110), comprises a time-frequency converter (120) adapted to transform the time-domain RF signal (110) to obtain a frequency-domain representation (130) based on the time- domain signal (110) and an entropy encoder (140) adapted to obtain the reduced representation (150) based on the frequency-domain representation (130) by entropy encoding.