Interference Cancellation Circuit for Impulse Noise in Vehicles
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Solution Overview
Problem
Existing wireless and radio frequency communication systems face challenges in accurately and efficiently receiving signals due to impulse noise from sources like vehicle engines, which is not effectively removed by ordinary linear filtering, impairing AM/FM radio signal reception in electric and hybrid vehicles.
Innovation Solution
An interference cancellation system utilizing an electronic control unit with filter, signal detection, and synthesis circuitry to estimate and subtract impulse noise based on timing, amplitude, phase, and pulse shape parameters, enhancing the signal-to-noise ratio by amplifying and isolating the filtered signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ordinary linear filtering is used to remove impulse noise, then filtering simplicity is maintained, but the wanted signal is significantly degraded along with the noise
Solution Approach 1:
The patent segments the impulse noise removal process into distinct stages: detection of impulse noise characteristics, estimation of noise parameters (amplitude, duration, frequency), and synthesis of cancellation signals. This segmentation allows targeted processing of noise components without affecting the wanted signal.
Solution Approach 2:
The patent introduces an intermediary cancellation signal that is synthesized to match the characteristics of the detected impulse noise. This cancellation signal acts as a mediator that, when subtracted from the received signal, removes the impulse noise while preserving the wanted signal components.
2Reliability
If impulse noise cancellation is implemented using the disclosed system, then signal-to-noise ratio is improved, but device complexity increases
Solution Approach 1:
The system employs self-service mechanisms where the impulse noise detection and characterization processes utilize the received signal itself to generate the cancellation parameters. The synthesis circuitry automatically adapts to varying noise characteristics without requiring external calibration or manual intervention.
Solution Approach 2:
The patent dynamically changes key parameters of the cancellation signal including amplitude, duration, frequency, and phase based on real-time detection of impulse noise characteristics. This parameter adaptation allows the system to effectively cancel varying noise patterns while maintaining a relatively simple overall structure.
3Measurement precision
If impulse noise is detected and characterized in real-time, then noise cancellation accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and pre-characterizing the impulse noise properties during periods when noise patterns are stable. This allows the synthesis circuitry to quickly generate cancellation signals when new impulse noise events occur, reducing the effective processing delay.
Solution Approach 2:
The patent applies partial processing by focusing detection and characterization efforts only on the impulse noise components rather than analyzing the entire signal spectrum. This selective approach maintains high measurement precision for noise parameters while minimizing overall processing time and computational load.
Data Source
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AI summary
Interference cancellation is provided, according to certain aspects, by a filter, a signal detection circuit, synthesis circuitry and signal-generation circuitry. The filter is used to filter an incoming signal having an associated signal-to-noise metric and to output therefrom a filtered signal having an interference attribute of the incoming signal by amplification and/or isolation. The signal detection circuit is used to detect the interference attribute in the filtered signal. The synthesis circuitry is used to synthesize interference in the incoming signal based on the interference attribute. The signal-generation circuitry is used to generate, in response to the synthesized interference in the incoming signal, a filtered version of the incoming signal which provides an improved signal-to-noise metric.