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Localization of Sound Sources in Underground Parking Lots

Author

Listed:
  • Dong Myung Lee
  • Moo Kyung Jung
  • Chang Yong Choi
  • Hongchi Shi

Abstract

We present a localization of sound sources algorithm for underground parking lots and a compensation algorithm for enhancing localization of sound sources based on the least-squares method (LSM). The proposed localization of sound sources system is designed for the underground parking lots in apartments. The sound location algorithm is referred to as LO C SS , and the localization algorithm enhanced with the compensation algorithm is referred to as LO C SS + LC A LSM . We also present the performance comparison of the proposed algorithms under directions 135°, 180°, 270°, and 337.5°. The proposed compensation algorithm reduces the error of sound sources by 72.4% on average. The LO C SS + LC A LSM algorithm can be applied to the localization of sound sources system for underground parking lots as well as to various sound sources based applications due to its low cost.

Suggested Citation

  • Dong Myung Lee & Moo Kyung Jung & Chang Yong Choi & Hongchi Shi, 2014. "Localization of Sound Sources in Underground Parking Lots," International Journal of Distributed Sensor Networks, , vol. 10(4), pages 826750-8267, April.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:4:p:826750
    DOI: 10.1155/2014/826750
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