Wireless Noise Filtering via State-Based Signal Magnitude Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-frequency clock signals in wireless communication apparatuses generate noise that interferes with radio frequency signals, deteriorating communication performance.
Innovation Solution
A method and apparatus for selectively filtering noise by generating noise information under various state conditions, determining the magnitude of noise interfering with RF signals, and performing noise filtering based on the magnitude of both the RF and noise signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If internal components operate at high frequencies to improve processing speed, then productivity increases, but noise generation increases causing signal interference
Solution Approach 1:
The system performs preliminary noise characterization by generating test noise signals from internal components under various state conditions and storing the results as noise information in advance. This preliminary action enables the receiver to quickly identify and filter known noise patterns during actual operation without sacrificing processing speed.
Solution Approach 2:
The patent introduces noise information as an intermediary element that mediates between the high-frequency internal components and the RF signal receiver. This intermediary contains pre-characterized noise data that the receiver uses to selectively filter interference, allowing high-speed operation while protecting signal integrity.
2Reliability
If noise filtering is applied to all RF signals, then communication performance improves, but processing time increases
Solution Approach 1:
The system applies partial filtering by selectively filtering only those noise signals that match the pre-characterized noise information stored in memory. Instead of applying uniform filtering to all signals, the receiver compares incoming signals against the noise database and applies filtering only when necessary, reducing processing time while maintaining communication performance.
Solution Approach 2:
The system uses feedback from the stored noise information to dynamically adjust filtering operations. The receiver continuously compares incoming signals with the pre-characterized noise patterns and applies filtering based on this feedback, optimizing the balance between communication performance and processing time.
3Measurement precision
If comprehensive noise information is collected under multiple state conditions, then noise identification accuracy improves, but device complexity increases
Solution Approach 1:
The system segments the noise characterization process by collecting noise information under discrete state conditions (e.g., different operating modes, temperature ranges, component states) and storing them as separate entries in the noise information database. This segmentation makes the complex data collection process manageable and enables precise noise identification by matching current conditions to the appropriate segment.
Solution Approach 2:
The system varies operating parameters (such as clock frequency, component power states, temperature) during noise characterization and stores the resulting noise profiles. By systematically changing parameters and recording their effects, the system achieves comprehensive noise identification accuracy while organizing the complexity into manageable parameter-based categories.
Data Source
AI summary
A method performed by at least one processor of a wireless communication apparatus including a plurality of internal components, the method includes generating a plurality of sets of noise information corresponding to a plurality of test noise signals generated by the plurality of internal components under a plurality of state conditions, receiving a radio frequency (RF) signal, determining a magnitude of a noise signal that interferes with the RF signal by using a set of noise information corresponding to a current state condition from among the plurality of sets of noise information, and performing noise filtering on the RF signal based on a magnitude of the RF signal and the magnitude of the noise signal.