Interference Signal Estimation in Radio Communication Devices
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Solution Overview
Problem
Existing communication devices face challenges in reliably and efficiently subtracting interference signals from received signals, especially in the presence of additive white Gaussian noise, which affects the quality of information transmission in radio communication systems.
Innovation Solution
A communication device is designed with a receiver, a determination circuit to estimate interference signals based on an interference signal model, a correction circuit to refine the estimation using signal samples, and a subtraction circuit to remove the interference, employing methods like conditional moment determination and nonlinear filtering algorithms to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional interference subtraction methods are used, then the device complexity is low, but the measurement precision and reliability of interference signal removal are insufficient
Solution Approach 1:
The patent applies preliminary action by establishing an interference signal model before actual signal processing. The determination circuit pre-determines interference signals based on the model, and the correction circuit pre-corrects these estimates using statistical properties before subtraction. This preparatory modeling and estimation approach improves measurement precision by having accurate interference estimates ready before the critical subtraction operation.
Solution Approach 2:
The patent implements feedback through the correction circuit that uses statistical properties (conditional moments) of the received signal to refine and correct the interference signal estimates. The correction circuit continuously adjusts the interference estimates based on feedback from the actual signal characteristics, improving measurement precision while managing complexity through intelligent correction rather than complete reprocessing.
2Measurement precision
If complex nonlinear filtering algorithms are employed, then the measurement precision improves, but the productivity and processing speed decrease
Solution Approach 1:
The patent segments the signal processing into distinct functional circuits: determination circuit for interference estimation, correction circuit for refinement using conditional moments, and subtraction circuit for final processing. This segmentation allows each circuit to perform its specific function efficiently, improving overall productivity while maintaining measurement precision through specialized processing at each stage.
Solution Approach 2:
The patent replaces complex iterative nonlinear filtering with a more efficient computational approach using conditional moment determination and correction. Instead of traditional mechanical-style iterative optimization, the system uses statistical moment-based correction that achieves similar precision with reduced computational burden, thereby improving processing speed and productivity.
3Reliability
If interference signal modeling is performed, then the reliability of interference subtraction improves, but the device complexity increases
Solution Approach 1:
The interference signal model serves multiple functions: it provides the basis for initial interference estimation, enables correction through statistical moment comparison, and guides the subtraction process. This multi-functionality of the model improves reliability without proportionally increasing device complexity, as the same model structure supports multiple processing objectives through the different circuits.
Solution Approach 2:
The patent introduces an intermediary correction circuit that mediates between the determination circuit and subtraction circuit. This intermediary uses the interference model and signal statistics to refine estimates, improving reliability by providing a buffer layer that reconciles model-based estimates with actual signal characteristics without requiring direct complex interaction between all components.
Data Source
AI summary
A communication device is provided that includes a receiver configured to receive a signal. The communication device further includes a determination circuit configured to determine an interference estimation signal of the received signal based on a first signal sample of the received signal and on an interference signal model. The communication device further includes a correction circuit configured to determine a corrected interference estimation signal based on the determined interference estimation signal and on a second signal sample of the received signal. The communication device further includes a subtraction circuit configured to subtract the corrected interference estimation signal from the received signal.