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θ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。
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(θ)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.
作者
李诺舟
罗小泽
刘彤
李航琪
Li Nuozhou;Luo Xiaoze;Liu Tong;Li Hangqi(Navigation College,Dalian Maritime University,Dalian116026,China;Dalian HaiXing Navigation Technology Co.,Ltd.,Dalian 116023,China)
出处
《电子测量技术》
北大核心
2022年第16期176-182,共7页
Electronic Measurement Technology
关键词
海冰密集度
雷达
去卷积算法
视频累积
优化均值滤波算法
sea ice concentration
radar
deconvolution algorithm
video accumulation
optimized mean filtering algorithm
