Acoustic Positioning Deconvolution Decoder for Multi-Path Interference
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Solution Overview
Problem
Indoor real-time location systems face challenges in accurately determining the location of moving mobile communication devices due to Doppler shifts and multi-path interference, which affects the accuracy of identity and position determination in indoor environments.
Innovation Solution
A method involving a mobile communication device that receives acoustic signals, correlates them with a magnitude block window to identify signal peaks, deconvolves these peaks with code keys exceeding a signal-noise-ratio threshold, and determines the likelihood of correctness based on both signal and time of arrival parameters to identify the transmitting device's code key.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional location systems are used, then device positioning is provided, but accuracy is reduced due to Doppler shifts and multi-path interference
Solution Approach 1:
The patent converts the harmful effects of multi-path interference and Doppler shifts into beneficial information. By analyzing the characteristics of reflected signals and frequency shifts, the system identifies valid code keys and determines device location and velocity. The deconvolution decoder specifically exploits signal structure to distinguish direct paths from reflected paths, transforming interference into useful positioning data.
Solution Approach 2:
The system changes parameters by jointly analyzing signal-to-noise ratio and time of arrival metrics, and by applying deconvolution techniques that transform the received signal into a form where code keys can be reliably identified. The method modifies the approach from simple signal detection to a comprehensive parameter-based analysis that accounts for environmental effects.
2Adaptability or versatility
If acoustic signals are received through multiple transmission paths, then signal coverage is improved, but signal identification accuracy deteriorates due to interference
Solution Approach 1:
The patent segments the received acoustic signal into distinct transmission paths by applying deconvolution techniques. The system separates the direct signal from reflected signals by analyzing their temporal and spectral characteristics. This segmentation allows the decoder to identify individual code keys from each path and selectively process valid signals while rejecting interference.
Solution Approach 2:
The deconvolution decoder acts as an intermediary that processes the mixed acoustic signals from multiple paths. It uses the known structure of code keys and signal propagation characteristics to filter and identify valid code keys, serving as a mediator between the complex multi-path environment and the final position determination.
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
This approach provides more accurate and efficient location estimation of mobile communication devices with an accuracy of 2.5 to 25 centimeters standard deviation, improving upon conventional systems by accounting for acoustic environment knowledge and mitigating interference effects.
Implementation Method 1
Indoor real-time location systems face challenges in accurately determining the location of moving mobile communication devices due to Doppler shifts and multi-path interference
Implementation Method 2
Indoor real-time location systems face challenges in accurately determining the location of moving mobile communication devices due to Doppler shifts and multi-path interference
Data Source
AI summary
The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.


