【摘要】 提出了一种新的水下宽带信号的超短基线SUBL解模糊定位方法，分析了近体多径对解模糊的影响，在此基础上建立一种新的相关峰模型，从相关结果中选取匹配数据段与本地新的局部相关峰模型进行匹配。根据匹配结果估计初时延。相位改用第一个过门限点处相位，并用初始时延迟消解相位模糊，得到高精度的时延估计，从而进行稳定定位。相比于传统算法，本文算法能大大提高存在近体多径时解模糊的正确率。通过仿真分析，本文仿真结果表明算法在0.7倍近体多径情况下，本文算法解模糊的正确率达到了100%。在湖试中本文算法的解模糊正确率达到了95.2%。更多还原

【Abstract】 In this paper, a new ultra-short baseline deblurring positioning method for underwater broadband signals is proposed. The influence of near body multipath on ambiguity resolution is analyzed. Based on this, a new correlation peak model is established. The matching data segment is selected from the correlation result to match with the new local correlation peak model. According to the matching result, the initial time delay is estimated. The phase is changed to the phase at the first threshold crossing point, and the initial time delay is used to resolve the phase ambiguity, so as to obtain high-precision time delay estimation for stable positioning. Compared with the traditional algorithm, this algorithm can greatly improve the accuracy of ambiguity resolution in the presence of near body multipath. Simulation results show the accuracy of the algorithm proposed in this paper reaches 100% in the case of 0.7 times near body multipath. In lake experiment, the correct rate of the algorithm is 95.2%.更多还原