一种改进的水下声学定位算法

通过分析讨论泰勒级数展开法和Chan算法的优缺点,提出了一种先由Chan算法解算求得初始参考值,再由泰勒级数展开法在该初始值处展开进行迭代求解的协同定位算法。通过实验,将本方法与传统定位算法(泰勒法)、Chan算法进行对比。结果表明,该方法无需额外提供初始值,解算出较好的结果的同时且能保持良好的时间效率。通过此方法,在实际生产作业中可节约定位时间,改善定位精度。

An improved underwater acoustic localization algorithm

Through analyses and discussions of the advantages and disadvantages of the Taylor series expansion method and the Chan algorithm, this study proposes a coordination method that first solves the initial reference value using the Chan algorithm and then expands it using the Taylor series expansion method. Through experiments, the proposed method is compared with the traditional positioning algorithm (i.e., the Taylor series expansion method) and the Chan algorithm. Results show that the method does not need to provide additional initial values and can maintain the time consumption efficiency without losing positioning accuracy.Through this method, the positioning time can be reduced and the positioning accuracy can be improved in the actual operation.