A constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with sensor position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios of arrival (GROAs) measured simultaneously at each node to estimate the source position jointly. Compared to AOA-only localization methods, the GROAs can be used in conjunction with AOA measurements so as to get more accurate results by exploiting the geometrical relationship between these two measurements. Compared to time difference of arrival localization methods, the proposed algorithm does not require accurate time synchronization over different nodes. The theoretical mean-square error matrices of the proposed approach are derived and they are exactly equal to the Cramér–Rao bound for Gaussian noise under the small error condition. Simulations validate the performance of the proposed estimator.
Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements
Ji-an Luo,Si-Wei Pan,Dongliang Peng,Zhi Wang,Yan-Jun Li
Published 2018 in Italian National Conference on Sensors
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Italian National Conference on Sensors
- Publication date
2018-03-22
- Fields of study
Medicine, Computer Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- 3d source localization
The problem of estimating the three-dimensional position of an acoustic source from measurements collected by sensors.
Aliases: source localization in 3D, three-dimensional source localization
- acoustic sensor network
A distributed network of sensors that observes acoustic emissions for source localization.
Aliases: acoustic sensor networks
- angle of arrival
A directional measurement that indicates the incoming bearing of the acoustic signal at a sensor node.
Aliases: AOA, AOAs
- constrained least-squares optimization
An estimation framework that fits model parameters by least squares while enforcing constraints from the localization geometry.
Aliases: CLS, constrained least squares
- cramér-rao bound
A lower bound on estimator mean-square error used to benchmark localization performance under a statistical noise model.
Aliases: CRB
- gain ratio of arrival
A relative gain measurement collected at a node and used as an additional localization cue alongside direction measurements.
Aliases: GROA, GROAs
- gaussian noise
A noise model with normally distributed measurement errors used in the theoretical performance analysis.
Aliases: normal noise
- sensor position errors
Discrepancies between the assumed and true sensor coordinates used in the localization model.
Aliases: sensor localization errors, position errors
- small error condition
An approximation regime in which measurement and modeling errors are assumed to be sufficiently small for the analysis to hold.
Aliases: small-error condition
- time difference of arrival
A localization measurement model based on differences in signal arrival times across sensors.
Aliases: TDOA
REFERENCES
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