Pre-configured RF Noise Cancellation for Faster Convergence
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Solution Overview
Problem
Current noise cancellation systems in devices like cell phones and GPS systems are inefficient in quickly reducing Radio Frequency (RF) noise and interference, leading to performance issues such as dropped calls and data loss, and consume excessive power due to slow convergence of noise cancellation signals.
Innovation Solution
A noise-reduction apparatus that includes a noise-pattern predictor and a noise-canceling module, which uses pre-configuration signals to anticipate and prepare for impending noise sources by pre-loading parameters and allocating resources, thereby accelerating the generation of noise-canceling signals and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise cancellation systems continuously monitor and process noise signals, then noise cancellation effectiveness is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring noise cancellation parameters and pre-loading filter coefficients before noise events occur. The noise cancellation circuit is prepared in advance with expected noise patterns, allowing it to respond immediately when noise is detected without requiring continuous full-power operation, thus reducing overall power consumption while maintaining effectiveness.
Solution Approach 2:
Instead of continuous operation, the system employs periodic monitoring and activation. The noise cancellation circuit is activated periodically or event-driven rather than continuously, processing noise signals only when needed while remaining in a low-power state otherwise, thereby reducing power consumption while maintaining reliable noise cancellation when required.
2Speed
If noise cancellation circuits are always active, then response speed is improved, but power consumption increases
Solution Approach 1:
The system pre-configures noise cancellation parameters and loads filter coefficients in advance before noise events occur. This preliminary preparation allows the circuit to achieve fast response when noise is detected, as the processing parameters are already in place, eliminating the need for continuous full-power operation while maintaining rapid response capability.
Solution Approach 2:
The noise cancellation circuit dynamically adjusts its operational state between low-power standby mode and active processing mode. The system transitions between these states based on noise detection, allowing fast response when needed while consuming minimal power during idle periods, thus resolving the contradiction between response speed and power consumption.
3Use of energy by moving object
If the noise cancellation system converges slowly, then power consumption is reduced, but noise cancellation effectiveness deteriorates
Solution Approach 1:
The system performs preliminary configuration of noise cancellation parameters and pre-loads necessary filter coefficients before noise events occur. This pre-preparation eliminates the convergence delay that would otherwise be required when noise is first detected, allowing the system to achieve effective noise cancellation immediately upon activation while maintaining low power consumption by avoiding continuous operation.
Solution Approach 2:
The system employs feedback mechanisms that monitor noise levels and adjust the noise cancellation circuit operation accordingly. The feedback loop allows the system to activate full processing power only when noise is detected and maintain effective cancellation, while reducing power consumption during idle periods, thus resolving the contradiction between convergence speed and power usage.
Data Source
AI summary
A noise-reduction system includes a noise-pattern predictor in communication with a noise-canceling module. In a more specific embodiment, the noise-reduction apparatus further includes an input collector in communication with the noise-pattern predictor. The input collector is coupled to a first module, such as a sensor, that provides information to the noise-pattern predictor to facilitate predicting noise in an accompanying signal environment and to provide a first signal in response thereto. In an illustrative embodiment, the first signal includes information indicating when an ignition system of a vehicle will turn on. The first signal further includes information indicating when a second signal transmitted from a cellular base station will affect noise in the signal environment. The second signal may include a burst in a cellular signal.