超短基线定位系统融合分类解模糊技术研究-电子与信息学报.PDF

第 39 卷第 6 期 电 子 与 信 息 学 报 Vol.39No.6 2017 年 6 月 Journal of Electronics Information Technology Jun. 2017 超短基线定位系统融合分类解模糊技术研究 王 燕 李 晴 付 进* 梁国龙 (哈尔滨工程大学水声技术重点实验室 哈尔滨 150001) (哈尔滨工程大学水声工程学院 哈尔滨 150001) 摘 要：针对超短基线水声定位系统面临的相位差模糊问题，该文提出一种基于多分类器融合的定位解模糊算法。 首先构建多分类器系统，将解模糊问题转化为对模糊数进行分类识别的问题，并采用 Choquet 积分对各分类器结 果进行融合，得到模糊数所属类别，进而对目标进行定位。给出了目标位置的无模糊观测条件。该算法优点是无需 构造小于半波长间距的阵列，有效扩大了无模糊阵列孔径，而且由于充分利用了相位差观测数据的统计特性，定位 精度可接近克拉美-罗界。仿真结果验证了该算法的有效性。 关键词：超短基线定位；相位差模糊；多分类器融合；模糊积分 中图分类号：TN911.7 文献标识码：A 文章编号：1009-5896(2017)06-1348-07 DOI: 10.11999/JEIT160825 Resolving Ambiguity Using Fusion Classification for Ultra-short Baseline Positioning Systems WANG Yan LI Qing FU Jin LIANG Guolong (Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China) (College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China) Abstract: To solve the phase-difference ambiguity problem in Ultra-Short BaseLine (USBL) underwater acoustic positioning systems, an ambiguity resolution and localization method based on Multiple Classifier Fusion (MCF) is proposed. Firstly, the multiple classifier system is built. Then, ambiguity resolution problem is formulated as classifying and recognizing the ambiguity integer, and Choquet integral is utilized for fusing the results of multiple classifiers. Finally, the category of ambiguity integer is obtained and the target is located. The unambiguous observation condition of the target position is derived. Without constructing an inter-sensor spacing less than