Data Optimization Algorithm for Short Baseline Acoustic Positioning System based on Substructure of Multi-element Array

Short baseline acoustic positioning system is an important technology. In order to achieve the high accuracy, the acoustic beacon can be installed on the target, and the receiving array can be composed of multiple elements, so as to obtain redundant positioning data for fusion. However, due to the complex underwater acoustic environment, many disturbances may lead to the occurrence of low-reliability data objects in the positioning data, which are called singular values. If these redundant positioning data are not filtered, the singular-value will leading to a serious positioning deviation. This paper proposes an algorithm called Data Optimization Algorithm for Short Baseline Acoustic Positioning System based on Substructure of Multi-element Array. In this paper, the error statistical parameters of the positioning results in the sub-structure of the spatial array are derived firstly. Then the state of error statistical parameters is evaluated theoretically. So as to effectively identify and discard the singular-values and improve the positioning accuracy.