Entropy-Coded Frequency-Domain RF Representation for Bandwidth Limits
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Solution Overview
Problem
Current methods for transmitting digitized RF signals are inefficient due to redundant information and limited bandwidth, as they transmit all frequency bins with the same word length, including those with little or no energy, which increases noise and data processing requirements.
Innovation Solution
A system that converts time-domain RF signals into frequency-domain representations and applies entropy encoding to remove unnecessary portions based on predetermined conditions, using a time-frequency converter and entropy encoder, potentially with weighting functions to suppress unimportant frequency components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all frequency bins are transmitted with the same word length, then signal fidelity is maintained, but data transmission bandwidth requirements increase
Solution Approach 1:
The patent applies different word lengths to different frequency bins based on their energy content. Frequency bins with high energy are allocated longer word lengths to maintain precision, while bins with low or zero energy are allocated shorter word lengths or eliminated entirely. This local differentiation resolves the contradiction by maintaining signal fidelity only where necessary while reducing overall data transmission requirements.
Solution Approach 2:
The patent dynamically changes the word length parameter for each frequency bin based on the signal's spectral characteristics. By analyzing the energy distribution across frequency bins and adjusting the representation precision accordingly, the system maintains adequate signal fidelity for important frequency components while significantly reducing the total data volume for transmission.
2Reliability
If redundant frequency bins with little energy are transmitted, then complete signal representation is maintained, but noise and data processing requirements increase
Solution Approach 1:
The patent extracts and eliminates frequency bins that contain little or no energy from the data stream. By identifying and removing these redundant components, the system reduces noise and data processing requirements while maintaining the essential signal representation. The elimination is performed based on energy thresholds, ensuring that only truly redundant bins are removed.
3Ease of manufacture
If fixed resolution I/Q data is used for transmission, then implementation is simple, but bandwidth efficiency is poor
Solution Approach 1:
The patent transitions from static fixed-resolution I/Q data to dynamic variable-resolution representation. The system adaptively adjusts the word length for each frequency bin based on the signal's instantaneous spectral characteristics, allowing the representation to evolve with the signal content. This dynamic approach significantly improves bandwidth efficiency while maintaining implementation feasibility through algorithmic adaptation.
Data Source
AI summary
An apparatus according to an embodiment of the present invention for providing a reduced representation in a frequency-domain, based on a time-based RF signal, has a time-frequency converter adapted to transform the time-domain RF signal to obtain a frequency-domain representation based on the time-domain signal and an entropy encoder adapted to obtain the reduced representation based on the frequency-domain representation by entropy encoding.