Signal Processing Device for Burst Noise Mitigation
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Solution Overview
Problem
Signal processing devices face performance deterioration due to burst noise and narrow band noise in specific channel environments, such as impulsive interference or co-channel interference, which are not accurately modeled by additive white Gaussian noise.
Innovation Solution
A signal processing device and image display apparatus that includes a synchronizer performing Fourier transform on the received baseband signal and an equalizer calculating channel transfer function values, symbol-based noise, and subcarrier frequency-based noise to improve performance by estimating channel state information and selectively performing time or frequency interpolation based on channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If additive white Gaussian noise (AWGN) is assumed for channel state information calculation, then the calculation process is simple, but performance deteriorates in specific channel environments such as impulsive interference or co-channel interference
Solution Approach 1:
The patent changes the noise model parameter from additive white Gaussian noise to symbol-based noise and subcarrier frequency-based noise. This parameter change allows the system to adapt to different channel environments (impulsive interference, co-channel interference) while maintaining a structured calculation approach for channel state information
Solution Approach 2:
The patent introduces dynamic noise variance estimation that adapts to channel conditions. The noise variances for symbols and subcarriers are calculated based on actual received signal characteristics rather than assuming a fixed Gaussian noise model, making the system responsive to changing interference conditions
2Measurement precision
If time interpolation is performed to improve channel estimation accuracy, then channel estimation accuracy improves, but data stability deteriorates in mobile channel environments
Solution Approach 1:
The patent implements dynamic selection between time interpolation and frequency interpolation based on detected channel conditions. When mobile channel characteristics are detected, the system switches to frequency interpolation to maintain data stability; when static conditions prevail, time interpolation is used to maximize channel estimation accuracy
Solution Approach 2:
The patent changes the interpolation method parameter dynamically based on channel environment detection. By monitoring channel characteristics and switching interpolation strategies (time vs. frequency domain), the system optimizes performance for different mobility scenarios
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively improves performance for burst noise and narrow band noise, ensuring stable data transmission even in mobile channel environments by accurately calculating channel state information and adapting interpolation methods, thereby enhancing channel estimation accuracy and data stability.
Implementation Method 1
a synchronizer performing Fourier transform based on the received baseband signal
Data Source
AI summary
The present disclosure relates to a signal processing device and an image display apparatus including the same. A signal processing device according to an embodiment of the present disclosure comprises: a synchronizer configured to perform a Fourier transform based on the received baseband signal; and an equalizer configured to calculate a channel transfer function value, symbol based noise, and subcarrier frequency based noise based on the signal from the synchronizer, and calculate channel state information based on the calculated channel transfer function value, symbol based noise, and subcarrier frequency based noise. As a result, performances for burst noise and narrow band noise can be improved.