为抑制低置信度数据的干扰，提升复杂环境下的定位稳健性，研究复杂海况下舰船通信系统数据的稳健关联定位技术。采集舰船活动海域内各基站通信信号的特征数据，建立舰船通信信号参考指纹数据库；利用克里金插值法补全参考指纹数据库，采集基站信号并生成实时信号指纹数据，利用概率密度匹配法抑制低置信度数据的干扰，对实时信号指纹数据和参考指纹数据库进行关联匹配，得到实时信号指纹数据的关联匹配点，依据关联匹配差异度 d(k) 估计舰船位置。实验证明，该技术可有效采集基站通信信号的特征数据，在海况2级轻浪、舰船动态航行，航速10～18 kn 条件下，定位均方根误差（RMSE）为1.2 m±0.3 m，定位误差优于3 m。
To suppress the interference of low confidence data and improve the robustness of positioning in complex environments, robust correlation positioning technology for ship communication system data under complex sea conditions is studied. The characteristic data of communication signals of each base station in the ship′s active sea area are collected, and a reference fingerprint database of ship communication signals is established. The Kriging interpolation method is utilized to complete the reference fingerprint database collect the base station signal and generate real-time signal fingerprint data. The probability density matching method is used to suppress the interference of low-confidence data. The real-time signal fingerprint data and the reference fingerprint database are correlated and matched to obtain the correlated matching points of the real-time signal fingerprint data. The position of the ship is estimated based on the correlation matching difference degree d(k). Complete the correlation and positioning of the ship's communication system data to enhance the positioning robustness in complex environments. Experiments have proved that this technology can effectively collect the characteristic data of base station communication signals it was verified that the root mean square error (RMSE) of positioning was 1.2 m ± 0.3 m, with a positioning error better than 3 m, under the conditions of sea state level 2 light waves, dynamic navigation of ships, and a speed of 10-18 kn.
2026,48(4): 130-134 收稿日期：2025-8-10
DOI：10.3404/j.issn.1672-7649.2026.04.020
分类号：U666.1
作者简介：高翔云(1986-),女,硕士,讲师,研究方向为阵列信号处理、稀疏信号分解及移动通信
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