Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 8 | Page No.: 1571-1578
DOI: 10.3923/itj.2011.1571.1578
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Study on Target Collaborative Localization in Underwater Acoustic Sensor Networks

Biao Wang, Guang Yang and Xia Jie

Abstract:
A collaborative target localization algorithm in Underwater Acoustic Sensor Networks (UASN) is proposed. Comparing with other present algorithms about target localization, the algorithm is particularly considered time synchronization with high transmitting delay and acoustic multi-path propagation channel for UASN. By the condition of using new protocol of time synchronization, the target location is estimated by maximum-likelihood methods based on the range difference of wave arrival (RDOA), as the statistic model between the measuring and actual location is founded considering signal envelop in underwater channel. Meanwhile, the proposed algorithm adopts the distributed-centralized computation methods which degrade the node transmitting energy in underwater sensor networks. The result of simulation has analyzed the performance of localization precision.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    An Adaptive RSSI Compensation Strategy Based on Simulated Annealing for Indoor Cooperative Localization
  •    Distributed Localization Based on Hessian Local Linear Embedding Algorithm in Wireless Sensor Networks
  •    A Novel Joint Estimation Algorithm for Multi-parameter of Underwater Acoustic Channels
  •    Cosine Theorem-based DV-Hop Localization Algorithm in Wireless Sensor Networks
How to cite this article:

Biao Wang, Guang Yang and Xia Jie, 2011. Study on Target Collaborative Localization in Underwater Acoustic Sensor Networks. Information Technology Journal, 10: 1571-1578.

DOI: 10.3923/itj.2011.1571.1578

URL: https://scialert.net/abstract/?doi=itj.2011.1571.1578

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

Curve Bottom