Impulse Noise Mitigation in Multicarrier Signal Processing
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Solution Overview
Problem
Multicarrier communication systems, such as OFDM, face interference issues due to impulse noise from sources like vehicle ignition systems and electrical appliances, which can freeze television pictures and disrupt signal reception.
Innovation Solution
A method and apparatus for signal processing that estimates the channel response and noise in multicarrier systems, using known patterns and pilot signals to calculate a reference signal and noise estimate, allowing for compensation of the received signal in the frequency domain to mitigate impulse noise effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If impulse noise mitigation is applied to multicarrier signals, then reception quality and stability are improved, but device complexity increases due to additional signal processing steps
Solution Approach 1:
The patent applies preliminary action by estimating the channel response and calculating noise estimates before the actual signal compensation. The system pre-processes the received signal by computing reference signals from known data patterns and estimating noise characteristics, which are then used to compensate for impulse noise effects in subsequent processing stages. This approach mitigates interference while maintaining manageable processing complexity through structured pre-computation.
2Reliability
If channel response estimation and noise compensation are performed, then impulse noise resistance increases, but processing time increases
Solution Approach 1:
The patent segments the signal processing into distinct functional stages: channel response estimation, reference signal calculation, noise estimate computation, and signal compensation. Each stage operates independently on specific portions of the signal, allowing for optimized processing. The segmentation enables parallel execution of certain operations and reduces overall processing time by breaking down the complex mitigation task into manageable segments that can be processed efficiently.
3Measurement precision
If multiple processing steps are added for noise estimation and compensation, then signal accuracy improves, but manufacturing complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the noise estimate calculated from the received signal is fed back into the compensation process. The system uses the estimated channel response and calculated noise characteristics to adjust and refine the signal compensation, creating an iterative feedback loop that improves signal accuracy. This feedback approach enhances measurement precision while maintaining implementation feasibility through standardized signal processing techniques.
Data Source
AI summary
A method of signal processing according to one of several embodiments includes estimating a deterministic component of a received signal. The estimating is based on an estimated response of a transmission channel. Based on the estimated deterministic component, a non-deterministic component of the received signal is estimated. Based on corrupted portions of the estimated non-deterministic component, a noise estimate is obtained, and the received signal is compensated based on the noise estimate. A method according to another embodiment includes replacing received samples at corrupted locations with values from a calculated model.