Predictive Noise Mitigation for Vehicle Antennas
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems in vehicles, such as airplanes, struggle to predictively mitigate noise interference, leading to misalignment of antenna gains and nulls with interference patterns, especially in dynamic environments like cities, resulting in reduced signal-to-noise ratio (SNR) and communication quality.
Innovation Solution
A system utilizing a temporal noise floor map database to predictively adjust tunable antennas by providing advanced knowledge of noise floor characteristics, allowing vehicles to anticipate and align antenna configurations before experiencing interference, thereby improving signal quality and reducing delays in reaction times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive antenna adjustment based on measured noise floor is used, then the system responds to interference when detected, but the antenna configuration is misaligned with interference patterns due to measurement and reaction delays
Solution Approach 1:
The system performs preliminary actions by querying the noise floor map database to obtain noise floor characteristics for future geographic locations before the vehicle reaches them. This allows the antenna configuration to be adjusted in advance, aligning the antenna gains and nulls with the upcoming interference patterns rather than reacting after detection. The predictive adjustment eliminates the time delay between measurement and adjustment while maintaining reliable interference mitigation.
2Reliability
If the vehicle queries noise floor map database in advance, then predictive antenna adjustment is enabled, but additional communication overhead and processing time are required
Solution Approach 1:
The noise floor map database serves as an intermediary that stores pre-measured noise floor characteristics for various geographic locations. Instead of performing complex real-time noise measurements and calculations, the system queries this intermediary database for predictive information. This intermediary approach simplifies the overall system complexity while maintaining high signal-to-noise ratio through predictive antenna adjustment, as the database contains pre-processed interference data that can be quickly retrieved and applied.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and method are provided to facilitate predictive mitigation of noise. A vehicle may measure noise floor levels and transmit a noise floor signal to a noise signal aggregator. Based on the noise signal, the noise signal aggregator may update a noise floor map database. The noise floor map database may associate a plurality of geographic locations with noise floor levels for a plurality of cycle segments. Accordingly, the noise signal aggregator may update a noise floor level in the noise floor map database that corresponds to the location and time associated with the transmitted noise signal. The noise floor map database may then be queried to retrieve noise floor levels for locations further along a route traversed by a vehicle such that the vehicle may predictively tune one or more antennas to mitigate interference associated with the noise floor.