TDOA Distance Correction for Noise-Resilient Source Localization
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Solution Overview
Problem
Existing passive source localization techniques face challenges in accurately calculating time difference of arrival (TDOA) data due to noise and reverberation, leading to erroneous results and algorithm convergence issues, especially in noisy environments.
Innovation Solution
Applying linear and non-linear programming algorithms to adjust TDOA distance values by estimating error values, generating a second dataset that reduces errors and improves accuracy in determining signal source location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If TDOA calculations are performed using existing passive source localization techniques, then source location can be determined, but measurement precision deteriorates due to noise and reverberation causing erroneous TDOA values
Solution Approach 1:
The patent applies preliminary action by adjusting TDOA distance values before they are used in source localization algorithms. Error values are estimated and applied to correct the raw TDOA measurements in advance, ensuring that the source localization algorithm receives pre-corrected data with reduced errors from noise and reverberation
Solution Approach 2:
The patent implements feedback by estimating error values based on the relationship between TDOA distance values and sensor spacing, then using these estimated errors to adjust the original TDOA measurements. This closed-loop error correction process continuously refines the TDOA values to compensate for environmental disturbances
2Reliability
If TDOA calculations are performed in noisy environments, then source location can be determined, but reliability deteriorates due to algorithm convergence issues and erroneous results
Solution Approach 1:
The patent performs preliminary error correction on TDOA measurements before they are input to the source localization algorithm. By adjusting the TDOA distance values with estimated error values in advance, the system ensures more reliable and consistent algorithm convergence even in noisy environments
Solution Approach 2:
The patent converts the harmful effect of noise and reverberation into a manageable problem by modeling the error characteristics and systematically correcting them. The error estimation process transforms random noise-induced errors into correctable deviations, turning a reliability problem into a solvable measurement correction task
3Measurement precision
If error correction is applied to TDOA data, then measurement precision improves, but device complexity increases due to additional error estimation and adjustment processing
Solution Approach 1:
The patent applies parameter changes by modifying the TDOA distance values through error adjustment. The error values are calculated based on parameters such as sensor spacing and TDOA measurement characteristics, and these parameter-based corrections are applied to improve measurement precision without requiring complex system architecture changes
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture to determine a location of an audio source are disclosed. Disclosed example apparatus are to determine respective error values for corresponding ones of a first dataset of time difference of arrival (TDOA) distance values between pairs of acoustic sensors, the error values based on a cost function, a first set of constraints and a second set of constraints. Disclosed example apparatus are also to adjust the corresponding ones of the first dataset of TDOA distance values based on the respective error values to determine a second dataset of TDOA distance values. Disclosed example apparatus are further to output the second dataset of TDOA distance values to source location circuitry that is to determine the location of the audio source.