结合TDOA和TOA的USBL水声定位优化方法

Fangsheng Zhong, Wuyang Zhou
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引用次数: 3

摘要

提出了一种结合到达时差(TDOA)和到达时间(TOA)的超短基线水声定位优化方法。在最小二乘法(LS)和最大似然法(ML)的基础上,设计了基于优化准则的正则化最小二乘法(RLS)。LS和ML方法都是在一定准则下的最优估计方法,但LS方法的精度相对较低,ML方法对条件的要求相对严格,尽管ML方法的精度可以是理论上的上界。RLS方法采用非线性最小二乘法设计,克服了ML方法的缺点。经过大量的仿真验证,RLS方法的性能远远优于LS方法,非常接近ML方法。RLS方法对TDOA的测量误差具有良好的抵抗性,即使TDOA的测量误差很大,也能具有理想的定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal method for USBL underwater acoustic positioning by combining TDOA and TOA
In this paper we present an optimal method for Ultrashort Baseline (USBL) underwater acoustic positioning by combining Time Difference of Arrival (TDOA) and Time of Arrival (TOA). For the estimation of the bearing angles, on the basis of Least Squares (LS) method and Maximum Likelihood (ML) method, the Regularized Least Squares (RLS) method is designed based on the optimization criterion. LS and ML methods are optimal estimation method in a certain criterion, but the accuracy of LS method is relatively low, and ML method requires relatively strict conditions, although the accuracy of ML method can be a theoretical upper bound. RLS method is designed using nonlinear least squares, which overcomes the drawbacks of ML method. After a lot of simulation validation, the performance of RLS method is much better than LS method, very close to ML method. RLS method has a good resistance to the measurement error of TDOA, even if the measurement error of TDOA is very big, it can also have an ideal location precision.
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