水下无人系统学报2026，Vol.34Issue(3)：595-604,10.DOI:10.11993/j.issn.2096-3920.2026-0026
水下小目标探测效能动态评估方法
Dynamic Evaluation Method for Underwater Small Target Detection Effectiveness
摘要
Abstract
The evaluation of underwater small target detection effectiveness is a core challenge for ensuring maritime security and resource exploitation.Traditional static evaluation methods rely on fixed environmental parameters and single metrics,making it difficult to capture the dynamic adaptability of algorithms in complex and time-varying marine environments.To address this bottleneck,this paper proposed a novel dynamic effectiveness evaluation method based on multi-indicator fusion using Python.An environment-coupled dynamic detection probability model was established,extending classical detection theory to time-varying marine environments.The weighted geometric mean was introduced into the modeling of the comprehensive effectiveness index(CEI).An underwater detection dynamic evaluation system(UDDES)was designed and developed,supporting dynamic environment simulation,parallel testing of multiple algorithms,and multi-dimensional effectiveness visualization analysis.Simulation experimental results demonstrate that the detection probability of AI-Det is improved by approximately 99.8%compared with conventional beamforming(CBF).In dynamic environment stress tests involving sudden sea state deterioration and SNR drops,the mean CEI of AI-enhanced algorithms is increased by 36.5%over CBF,along with a 44.8%improvement in robustness coefficient and a 55.3%reduction in tracking stability error.This study shows that the proposed framework and system effectively overcome the inability of traditional static evaluation to quantify dynamic performance evolution,providing systematic theoretical methods and engineering tools for closed-loop testing,optimal selection,and effectiveness prediction of underwater detection algorithms.关键词
水下小目标探测/效能评估/动态综合指标/多算法对比Key words
underwater small target detection/effectiveness evaluation/dynamic comprehensive index/multi-algorithm comparison分类
军事科技引用本文复制引用
于志民,陈祥光,王仁忠..水下小目标探测效能动态评估方法[J].水下无人系统学报,2026,34(3):595-604,10.基金项目
中华职业教育社第二届黄炎培职业教育思想研究规划课题重点项目(ZJS2024ZN034) （ZJS2024ZN034）
天津市船舶与海洋装备开放型产教融合实践中心项目(TC25990DR). （TC25990DR）
