Acoustic Tracking System for Autonomous Robots based on TDE and Signal Intensity

Edgar D. Lasso, Alejandra Patarroyo, Fredy H. Martinez

Abstract


This article details the development and evaluation of an acoustic localization system for autonomous robots based on TDE and signal strength, mainly oriented towards service robotics applications. The estimated delay time was evaluated by an arrangement between two microphones. The criterion of the delay rests with the signal strength of a third microphone (coplanar arrangement) that allows to discern the location of the source. This also feeds a third microphone voice identification system that allows the system to respond only to specific voice commands. The prediction algorithm operates comparing the sensing TDE against theoretical values of the acoustic propagation model; results are then weighted according to the signal strength average. A comprehensive set of laboratory experiments on a real prototype bearing system performance, displaying average error of 18.1 degrees in azimuth and elevation of 7.6 degrees was reported. In particular, the analysis developed allows to define the necessary and sufficient conditions for establishing real-time a unique position in the space of origin, with sufficient accuracy for autonomous navigation applications.

Keywords


Voice identification; Acoustic location; Estimated delay

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References


M. Yang, D. R. Jackson, Z. Xiong, J. Chen, and J. T. Williams, “Numerical study of source localization using the tdoa method,” in 2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 1–6, 2014.

S. Baoqi Huang, L. Xie, and Z. Yang, “Tdoa-based source localization with distance­dependent noises,” vol. 14, no. 1, pp. 468–480, 2015.

N. Wu Panlong, G. Qiang, Z. Xinyu, and B. Yuming, “Maneuvering target tracking using passive tdoa measurements,” in 2014 33rd Chinese Control Conference (CCC), pp. 758–762, 2014.

S. Zhang, H. Jiang, and K. Yang, “Detection and localization for an unknown emitter using tdoa measurements and sparsity of received signals in a synchronized wireless sensor network,” in 2013 IEEE International Conference on Acoustics, Speech and Sig­nal Processing (ICASSP), pp. 5146–5149, 2013.

S. Hara, D. Anzai, T. Yabu, K. Lee, T. Derham, and R. Zemek, “A perturbation analysis on the performance of toa and tdoa localization in mixed los/nlos environments,” vol. 61, no. 2, pp. 679–689, 2013.

T. Wang, X. Chen, N. Ge, and Y. Pei, “Error analysis and experimental study on indoor UWB tdoa localization with reference tag,” in 2013 19th Asia-Pacific Conference on Communications (APCC), pp. 505–508, 2013.

B. Yang and M. Kreissig, “A graph-based approach to assist tdoa based localization,” in Proceedings of the 8th International Workshop on Multidimensional Systems (nDS), pp. 1–6, 2013.

X. Alameda-Pineda, R. Horaud, and B. Mourrain, “The geometry of sound-source lo­calization using non-coplanar microphone arrays,” in 2013 IEEE Workshop on Applica­tions of Signal Processing to Audio and Acoustics (WASPAA), pp. 1–4, 2013.

X. Alameda-Pineda and R. Horaud, “A geometric approach to sound source localization from time-delay estimates,” in IEEE ACM Transactions Audio, Speech, and Language Processing, pp. 1082–1095, 2014.

H.-Y. Gu and S.-S. Yang, “A sound-source localization system using three-microphone array and crosspower spectrum phase,” in 2012 International Conference on Volume: 5 Machine Learning and Cybernetics (ICMLC), pp. 1732–1736, 2012.

N. Greene and G. Paige, “Influence of sound source width on human sound localiza­tion,” in 2012 IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6455– 6458, 2012.

H. Cho, J. Choi, and H. Ko, “Robust sound source localization using a wiener filter,” in 2013 IEEE Emerging Technologies & Factory Automation (ETFA), pp. 1–6, 2013.

J. Orchard and Y. Hioka, “Localisation of a sound source in different positions using kinect sensors,” in 2014 IEEE Sensors Applications Symposium (SAS), pp. 131–135, 2014.

J. Tuma, P. Janecka, M. Vala, and L. Richter, “Sound source localization,” in 2012 13th International Carpathian Control Conference (ICCC), pp. 740–743, 2012.

F. H. Martínez, D. Acero, and M. Castiblanco, “Autonomous navigation strategy for robot swarms using local communication,” Revista Tecnura, vol. 18, no. 39, pp. 12–21, 2014.

K. Taylor and S. M. LaValle, “I-bug: An intensity-based bug algorithm,” in IEEE Inter­national Conference on Robotics and Automation ICRA 09, pp. 3981–3986, 2009.

VeeaR, EasyVR User Manual Release 3.3. TIGAL KG, 2012.




DOI: http://dx.doi.org/10.18180/tecciencia.2015.19.7

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