信息工程大学学报2026，Vol.27Issue(2)：246-252,7.DOI:10.3969/j.issn.1671-0673.2026.02.016
一种两阶段优化的声速剖面自适应简化算法
A Two-Stage Optimization Algorithm for Adaptive Sound Speed Profile Simplification
卜令冉 1李广云 1贾学东 1王力 1陈国军 1陈晨1
作者信息
- 1. 信息工程大学,河南 郑州 450001||北斗导航应用技术河南省协同创新中心,河南 郑州 450001
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摘要
Abstract
To address the excessive computational load caused by high-resolution sound speed profile(SSP)in underwater acoustic propagation modeling,an adaptive SSP simplification algorithm is pro‑posed,which balances global optimality with computational efficiency.In the algorithm,profile simpli‑fication is formulated as an optimization model to find the minimum set of characteristic points subject under a user-defined root mean square error(RMSE)constraint.To achieve this efficiently,a two-stage strategy is designed in this paper.In the first stage the Visvalingam-Whyatt(VW)algorithm is em‑ployed to rapidly screen high-quality candidate points,significantly pruning the search space.In the second stage the dynamic programming(DP)is utilized to perform a global search within an adaptive binary search framework,precisely identifying the minimum number of points and their distribution satisfying the error constraint.Experimental results show that at the same compression ratio,the pro‑posed algorithm outperforms traditional methods in terms of both RMSE and the relative error of acous‑tic ray travel time,which provides an efficient and reliable sound speed profile simplification solution for high-precision underwater acoustic applications.关键词
声速剖面简化/声线跟踪/两阶段优化/动态规划/自适应算法Key words
sound speed profile simplification/acoustic ray tracing/two-stage optimization/dynamic programming/adaptive algorithm分类
海洋科学引用本文复制引用
卜令冉,李广云,贾学东,王力,陈国军,陈晨..一种两阶段优化的声速剖面自适应简化算法[J].信息工程大学学报,2026,27(2):246-252,7.
