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单矢量水听器加窗直方图算法目标探测性能分析*

本站小编 Free考研考试/2022-01-02
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王超,王文龙,袁猛,张小川,吕勇.单矢量水听器加窗直方图算法目标探测性能分析*[J].,2021,40(2):316-322
单矢量水听器加窗直方图算法目标探测性能分析*
Analysis of target detection performance for a single vector hydrophone windowed histogram algorithm
投稿时间：2020-05-27修订日期：2021-03-01
中文摘要:
单个矢量水听器加窗直方图算法具有良好的鲁棒性和目标方位估计性能,本文对加窗直方图算法目标探测性能进行了分析和总结,并提出了一种基于目标估计方位的水中目标自主探测与跟踪算法。仿真和消声水池测试结果表明,加窗直方图算法实现目标自主跟踪所要求的信噪比需大于-7 dB~-6 dB,此时测向误差约为8°,-3 dB波束宽度在20°左右。海上试验数据分析表明,加窗直方图算法对航速8.4 kn的水面航船在距离13.8 km范围内,可实现全程目标探测和跟踪,测向误差最优可达5°,在距离2 km时-3 dB波束宽度可达10°左右。
英文摘要:
The single vector hydrophone windowed histogram algorithm has good robustness and target azimuth estimation performance. This paper analyzes and summarizes the target detection performance of the windowed histogram algorithm, and an autonomous detection and tracking algorithm for underwater targets based on the estimated azimuth of the target was proposed. Computer simulation and anechoic tank test results show that the signal-to-noise ratio required by the windowed histogram algorithm for autonomous tracking needs to be greater than -7 dB ~ -6 dB. Under this condition, the estimated azimuth error and -3 dB beam width are about 8 ° and 20 °, respectively. The sea trial results show that under good hydrological conditions in the deep sea, the windowed histogram algorithm can achieve target detection and tracking for a surface ship with a speed of 8.4 kn within a range of 13.8 km. The optimal estimated azimuth error can reach 5 °, and the -3 dB beam width can reach about 10 ° at a distance of 2 km.
DOI：10.11684/j.issn.1000-310X.2021.02.021
中文关键词:矢量水听器加窗直方图探测性能自主跟踪
英文关键词:vector hydrophonewindowed histogramdetection performanceautonomous tracking
基金项目:
作者单位E-mail
王超海军潜艇学院 青岛 266199120107769@qq.com
王文龙海军潜艇学院
袁猛海军潜艇学院
张小川海军潜艇学院
吕勇青岛海洋科学与技术试点国家实验室
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