Adaptive Dual Blanker for BPSK Impulsive Noise Mitigation
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Solution Overview
Problem
Existing BPSK modulation systems face significant Bit Error Rate (BER) performance degradation due to impulsive noise, especially in high Signal-to-Noise Ratio (SNR) regions, as current methods for nonlinear block design are complex and ineffective in suppressing impulsive noise.
Innovation Solution
An adaptive blanker system utilizing two blankers based on narrowband Middleton parameters, where the first blanker suppresses noise when the SNR is below a calculated threshold and the second blanker is activated when the SNR is above the threshold, using specific equations to determine output values and selectively apply signals to either blanker.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single blanker with a fixed threshold is used to suppress impulsive noise, then the device complexity is reduced, but the BER performance deteriorates significantly in high SNR regions
Solution Approach 1:
The patent divides the noise suppression function into two separate blankers (first blanker and second blanker) with different threshold characteristics. The first blanker handles low SNR conditions while the second blanker handles high SNR conditions, allowing each blanker to be optimized for its specific operating range rather than requiring a single complex adaptive threshold mechanism.
Solution Approach 2:
The patent implements dynamic selection between two blankers based on the measured SNR value. A switching unit dynamically selects which blanker to use depending on whether the SNR is below or above a predetermined threshold, enabling the system to adapt to changing noise conditions without requiring each individual blanker to be dynamically complex.
2Object-affected harmful factors
If a nonlinear block with complex threshold equation is used to determine weights, then the impulsive noise suppression capability is improved, but the BER performance deteriorates in high SNR region and the device complexity increases
Solution Approach 1:
The patent segments the noise suppression function into two distinct blankers with different threshold characteristics rather than using a single complex nonlinear block. This segmentation allows each blanker to be simpler while collectively providing comprehensive noise suppression across different SNR regions.
Solution Approach 2:
The patent changes the operating parameter (threshold value) by selecting different blankers based on SNR conditions. Instead of using a complex equation to continuously adjust the threshold, the system switches between two blankers with fixed but different threshold characteristics, simplifying the parameter adjustment mechanism while maintaining effectiveness.
3Reliability
If an adaptive blanker system with two blankers is used to improve BER performance, then the device complexity increases, but the impulsive noise suppression effectiveness is improved
Solution Approach 1:
The patent uses dynamic switching based on SNR measurement to select between two blankers. This dynamic selection mechanism allows the system to achieve adaptive performance improvement without requiring each individual blanker to be complex, as the adaptability comes from the switching logic rather than from complex internal structures of the blankers themselves.
Data Source
AI summary
A method for impulsive noise mitigation using an adaptive blanker based on BPSK modulation system includes estimating narrowband Middleton parameters of impulsive noise from signals received for a fixed time period; calculating a threshold using the estimated narrowband Middleton parameters; operating the first blanker to suppress impulsive noise from the signal received at a given point of time through the comparison of the SNR value of the received signal and the threshold. Further, the method includes operating the second blanker to suppress impulsive noise from the received signal through the comparison of the summation of the threshold and the SNR value with an absolute value of the received signal, when the SNR value is above the threshold.