基于雷达视频累积的海冰密集度检测精度优化
DOI:
作者:
作者单位:

1.大连海事大学航海学院 辽宁 大连 116026;2.大连海星航海科技有限公司 辽宁 大连 116023

作者简介:

通讯作者:

中图分类号:

U666.14;TN957.52

基金项目:


Optimization of sea ice concentration detection accuracy based on radar video accumulation
Author:
Affiliation:

1. Navigation College, Dalian Maritime University, Dalian 116026, China; 2. Dalian HaiXing Navigation Technology Co., Ltd., Dalian 116023, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对海冰流速较慢的特点和雷达海冰监测系统对海冰密集度检测精度的需求,提出视频累积和优化均值滤波算法,分别在时间域和空间域两个维度对数据滤波。采用去卷积算法处理雷达回波,减小水平波束宽度θH导致的角向误差和雷达脉宽效应引起的径向误差。以噪声的统计特性为基础,利用数值仿真验证视频累积和优化均值滤波算法对海冰雷达回波图像信噪比的提升效果。以车载移动雷达FAR-2117在夏家河水域实测数据为例试验,结果表明:利用该方法检测海冰密集度的精度较高,误差在工程要求可接受的范围内。

    Abstract:

    To focus on low drift of sea ice and to meet the accuracy requirement of radar monitoring system, a video accumulation and optimized mean filtering algorithm is proposed to detect sea ice concentration by data filtering in both time and space dimensions. The deconvolution algorithm is adopted for radar echo processing, which can reduce the angular error due to the horizontal beam width (θH) and the radial error due to the radar pulse width (τ) effectively. Based on the statistical characteristics of noise, simulation is used to verify the performance of video accumulation and optimized mean filtering algorithm on the Signal-to-Noise Rate (SNR) of sea ice echo images. Taking the measured data of vehicle-mounted mobile radar FAR-2117 in Xiajiahe for algorithm validation, the results show that the proposed method has high accuracy in detecting sea ice concentration and the error is satisfied to meet the engineering requirement.

    参考文献
    相似文献
    引证文献
引用本文

李诺舟,罗小泽,刘 彤,李航琪.基于雷达视频累积的海冰密集度检测精度优化[J].电子测量技术,2022,45(16):176-182

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-04-07
  • 出版日期: