Acoustic Positioning With Dynamic Pilot-Tone Frequency Switching
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in accurately and reliably detecting the distance of objects using acoustic echo detection, with limitations in both non-audible and audible frequency pilot tones.
Innovation Solution
An acoustic echo detection system that dynamically changes pilot tone frequencies based on detected object distances, using a recurrent neural network to swap between higher and lower frequency tones for improved accuracy, and employs active noise control to reduce audible noise when humans are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-audible frequency pilot tones are used for acoustic echo detection, then detection accuracy is improved, but detection range is reduced
Solution Approach 1:
The system dynamically switches between non-audible and audible frequency pilot tones based on the detected distance to the target object. When the target is within a threshold distance, non-audible frequencies are used for higher accuracy; when beyond the threshold, audible frequencies are used for extended range detection.
2Length of stationary object
If audible frequency pilot tones are used for acoustic echo detection, then detection range is extended, but noise interference increases
Solution Approach 1:
The system dynamically adjusts the pilot tone frequency based on target distance. Audible frequencies are only used when the target is beyond the threshold distance, minimizing noise interference in close-range scenarios while maintaining extended detection capability when needed.
Solution Approach 2:
The system changes the frequency parameter of the pilot tone based on the detected distance to the target object, switching between audible and non-audible ranges to optimize both detection range and noise interference levels.
3Measurement precision
If dynamic frequency switching is implemented, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses feedback from the detected target distance to control the frequency switching. The distance detection result feeds back to the pilot tone generator, which automatically selects the appropriate frequency range, simplifying the control logic compared to complex manual switching mechanisms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances distance detection accuracy and reliability by utilizing both non-audible and audible frequency pilot tones effectively, while minimizing noise interference.
Implementation Method 1
The apparatus transmits a first pilot tone at a first frequency. The apparatus detects whether there is an object within a specified distance of the wireless device based on a reflected signal of the first pilot tone.
Data Source
AI summary
Aspects presented herein may enable a wireless device to dynamically change the frequencies of its pilot tones based on the distance of one or more objects detected, thereby enabling the wireless device to utilize the advantages of both high frequency pilot tone and low frequency pilot tone. In one aspect, a wireless device transmits a first pilot tone at a first frequency. The wireless device detects whether there is an object within a specified distance of the wireless device based on a reflected signal of the first pilot tone. The wireless device transmits a second pilot tone at a second frequency based on at least one object being detected within the specified distance, where the second frequency is higher than the first frequency. The wireless device calculates a first distance of the at least one object with respect to the wireless device based the second pilot tone.