Bias Analysis and Reduction for Underwater Localization Problem
In the previous work, we proposed a generic method to analyze and reduce the bias in localization algorithms. The proposed method combines the Taylor series and Jacobian matrices to determine the bias and leads to an easily calculated analytical bias expression. However all the previous works focus on the terrestrial localization applications. In this paper we extend the method to underwater localization which is more complex than the terrestrial one. In order to reduce the underwater localization bias, an adjustment is required for the proposed bias-correction method. The Monte Carlo simulation results demonstrate the performance of the proposed bias-correction method in underwater localization situation.
Bias Taylor series Underwater localization Targeting Tracking TDOA
Peng Wang Yiming Ji Thushara Abhayapala
College of Engineering, Australian National University Canberra ACT 0200 Australia National ICT Ltd. Australia- NICTA/ Research School of Engineering Australian National University Ca Research School of Engineering Australian National University Canberra ACT 0200 Australia
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5178-5182
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）