基于矢量传感器的双基地声纳数据融合

A data fusion algorithm for bistatic sonar based on vector transducer

提出了一种基于单矢量传感器的双基地声纳定位数据融合算法。阐述了矢量双基地声纳数据融合定位算法的基本原理与解决方案。与常规声压双基地T/R-R声纳系统相比,矢量双基地声纳系统拥有更为丰富的声场观测信息。较之传统声压型,基于时延定位的算法(TOL),此新算法可带来更高的定位精度。在近基线三角区域,定位精度提高约23%,而在基线定位盲区附近,定位精度提高近40%。此新算法同时还解决了TOL算法的定位二值模糊问题。

A data fusion localization algorithm for bistatic sonar based on the single vector transducer is proposed. The principle and implementation scheme of the data fusion localization algorithm for the vector bistatic sonar are presented. Compared with the common T/R-R bistatic sonar systems in the pressure acoustic field, vector bistatic sonar systems can obtain more information of the acoustic field. Compared with the time only location （TOL） localization algorithm based on the traditional pressure sensor, the new algorithm can obtain a higher localization accuracy. In the triangle zone near the baseline, the new algorithm can increase the localization accuracy by 23%, and in the blind zone near the baseline, that can be increased by 40%. Moreover, it can also resolve the localization ambiguous problem of the TOL algorithm.