Dynamic Power Positioning for Indoor Accuracy
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Solution Overview
Problem
Traditional indoor positioning methods using fixed-power signals suffer from limited accuracy due to decaying signal intensity, especially in environments where devices lack additional sensors like gyroscopes and electronic compasses, leading to high positioning errors.
Innovation Solution
A dynamic power positioning method and system that involves transmitting signals with varying powers, recording intensities and reception times, and using signal intensity-distance functions to determine device location without additional sensing modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed-power transmitting signals are used for positioning, then the positioning system is simple to implement, but the positioning accuracy is limited by the decaying form of a single power signal
Solution Approach 1:
The patent applies dynamics by transitioning from fixed-power signals to dynamic multi-power signals. The transmitting device sends positioning signals with different transmission powers (first power and second power), and the receiving device selects signals based on dynamic conditions such as signal intensity and distance, thereby improving positioning accuracy while maintaining system simplicity.
Solution Approach 2:
The patent changes the power parameter of positioning signals from a fixed value to multiple variable values. By transmitting signals at different powers and selecting appropriate signals based on reception conditions, the system overcomes the limitation of single-power signal decay and achieves higher positioning precision.
2Ease of manufacture
If signal intensity is used to estimate distance without additional sensors, then the device cost is reduced, but the positioning error increases due to great changes in signal intensity
Solution Approach 1:
The patent uses dynamic signal selection where the receiving device compares signal intensities from multiple transmitting devices and selects the strongest signal for distance estimation. This dynamic selection process reduces the impact of signal intensity variations and improves positioning accuracy without requiring additional sensors like gyroscopes or electronic compasses.
Solution Approach 2:
The system implements feedback by continuously monitoring signal intensities from multiple transmitting devices and adjusting the selection of positioning signals accordingly. The receiving device uses the feedback from signal strength comparisons to identify the most reliable signal source, thereby reducing positioning errors while maintaining low device cost.
3Measurement precision
If multiple positioning signals with different transmission powers are transmitted, then the positioning accuracy is improved, but the signal processing complexity increases
Solution Approach 1:
The patent segments the positioning process into distinct stages: transmitting devices send signals at different powers, the receiving device receives and compares these segmented signals, selects the optimal signal based on intensity, and then calculates position. This segmentation simplifies the overall processing complexity while maintaining high positioning accuracy.
Solution Approach 2:
The patent uses partial action by having transmitting devices send positioning signals at different powers, but the receiving device only processes and selects from these signals rather than analyzing all possible parameters. This partial processing approach reduces computational complexity while still achieving improved positioning accuracy through multi-power signal comparison.
Data Source
AI summary
A dynamic power positioning method and a dynamic power positioning system thereof are disclosed. The method comprises the steps of: controlling a device to be measured to transmit a plurality of positioning signals with a plurality of transmission powers; making a plurality of known location devices to receive the plurality of positioning signals, and recording the intensities and the corresponding reception times of the plurality of positioning signals, and the coordinates of the plurality of known location devices to the database; finding out the known location device corresponding to a positioning signal having a higher signal intensity among the received plurality of positioning signals; obtaining a signal intensity-distance function and a signal intensity-distance standard deviation function from the database; and finding out the device location of the device to be measured according to the signal intensity-distance function and signal intensity-distance standard deviation function.