UAV Working Frequency Selection Using Scheduled RSSI Measurement
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Solution Overview
Problem
Current interference measurement methods for unmanned aerial vehicle systems are inefficient, requiring long times to measure all frequency points and resulting in low accuracy and efficiency in determining the frequency point with minimal interference.
Innovation Solution
A method that synchronizes the unmanned aerial vehicle and remote control, divides each measurement period into scheduling slices to measure multiple frequency points, and uses RSSI values to determine the working frequency point by switching between frequency points and performing AGC recovery and smoothing filtering to identify the frequency point with minimal interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If one frequency point is measured per measurement period, then measurement accuracy is improved, but measurement time is excessively long and efficiency is low
Solution Approach 1:
The measurement period is segmented into multiple scheduling slices, with each slice dedicated to measuring a specific frequency point. This allows multiple frequency points to be measured within a single measurement period, significantly reducing total measurement time while maintaining measurement accuracy through structured segmentation of the measurement process
Solution Approach 2:
The system continuously measures multiple frequency points by dividing the measurement period into scheduling slices, eliminating idle time between measurements. The unmanned aerial vehicle and remote control synchronize their measurement activities across frequency points, ensuring continuous useful action rather than sequential single-point measurement
2Productivity
If multiple frequency points are measured simultaneously, then measurement efficiency is improved, but synchronization complexity between unmanned aerial vehicle and remote control increases
Solution Approach 1:
The system employs periodic measurement actions where the unmanned aerial vehicle and remote control synchronize their measurement activities at regular intervals. Each measurement period is divided into scheduling slices that occur periodically, allowing multiple frequency points to be measured in a coordinated manner while maintaining manageable synchronization through rhythmic, predictable measurement cycles
Solution Approach 2:
The measurement periods and scheduling slices are pre-configured and synchronized between the unmanned aerial vehicle and remote control before actual measurement begins. This preliminary synchronization setup establishes the measurement framework in advance, reducing real-time coordination complexity while enabling efficient multi-frequency-point measurement execution
Data Source
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AI summary
The embodiments of the present disclosure disclose provide a method for determining a working frequency point, which includes that: each measurement period and each frequency point to be measured in each measurement period are acquired; it is judged whether a present moment is a first scheduling slice of a present measurement period or not; if YES, frequency point switching and measurement are sequentially performed according to each frequency point to be measured in the present measurement period to obtain a Received Signal Strength Indication (RSSI) value of each frequency point to be measured in the present measurement period, frequency point switching back to a present working frequency point is performed, and the operation of judging whether the present moment is the first scheduling slice of the present measurement period or not is re-executed until an RSSI value of each frequency point to be measured in each measurement period is measured; if NO, the operation of judging whether the present moment is the first scheduling slice of the present measurement period or not is re-executed; and a working frequency point is redetermined according to a relationship between the RSSI value of each frequency point to be measured in each measurement period and an interference value of the present working frequency point. The embodiments of the present disclosure also provide an unmanned aerial vehicle, a remote control, an unmanned aerial vehicle system and a computer storage medium.