精准测量并补偿水下导航中的时间延迟,显著提升定位精度。
Precise Time Delay Measurement and Compensation for Tightly Coupled Underwater SINS/piUSBL Navigation
- 通过同步时序与声学信号处理,将延迟变为可测量参数。
- 实测显示位置均方根误差降低44.02%,最大误差减少40.79%。
- 适合对时间同步敏感的水下多传感器导航系统使用。
在集成声学定位的水下组合导航系统中,时间同步尤为困难,测量与融合时刻的错位会显著降低精度。本文提出一种紧耦合导航框架,融合被动反向超短基线(piUSBL)声学定位、捷联惯性导航系统(SINS)和深度计,并在精确时间同步下工作。该框架融合piUSBL方位角与斜距信息及深度数据,避免平面阵列垂直角度可观测性差的问题。结合同步时序与声学信号处理,将原本不可观测的时间延迟转化为可测量参数,实现对声波传播延迟与系统处理延迟的显式量化。野外实验表明,相比未补偿基线,该方法使位置均方根误差(RMSE)降低44.02%,最大误差(MAXERR)减少40.79%;相较于基于滤波的延迟补偿,水平方向进一步降低RMSE达37.66%和35.82%。结果表明,显式延迟测量优于滤波估计,但瞬时性能仍受声信号质量影响,强调在时延敏感的多传感器系统中,需同时具备鲁棒的信号处理与精确时间同步能力。
原文摘要 · Abstract (English)
In multisensor systems, time synchronization is particularly challenging for underwater integrated navigation systems (INSs) incorporating acoustic positioning, where time delays can significantly degrade accuracy when measurement and fusion epochs are misaligned. This article introduces a tightly coupled navigation framework that integrates a passive inverted ultrashort baseline (piUSBL) acoustic positioning system, a strapdown inertial navigation system (SINS), and a depth gauge under precise time synchronization. The framework fuses piUSBL azimuth and slant range with depth measurements, avoiding poor vertical-angle observability in planar arrays. By combining synchronized timing with acoustic signal processing, the proposed method transforms delay from an unobservable error into a measurable parameter, enabling explicit quantification of both acoustic propagation and system processing delays. Field experiments demonstrate that the proposed approach reduces position RMSE by 44.02% and maximum error (MAXERR) by 40.79% compared to the uncompensated baseline while achieving further RMSE reductions of 37.66% and 35.82% in horizontal directions relative to filter-based delay compensation. The results confirm that explicit delay measurement outperforms filter-based estimation though instantaneous performance remains sensitive to acoustic signal quality, emphasizing the need for robust signal processing alongside accurate time synchronization in latency-sensitive multisensor systems.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。