基于小波滤波的海面杂波过滤降噪处理技术

发布时间：2018-03-22 02:02

本文选题：小波变换　切入点：海面杂波　出处：《舰船科学技术》2017年14期 　论文类型：期刊论文

【摘要】：海上地形环境复杂,对于微小目标识别系统,受到海面杂波影响,目标物识别的分辨率变低。海面杂波一般由船舶运行引起的波浪起伏地形变化等因素引起,较易与快速移动的微小目标物重叠,引起目标识别困难。小波滤波是一种高效的过滤噪声算法,对目标检测中的海面杂波具有很好的过滤效果,能够提高微弱目标的检测效果。本文研究海上杂波的频率特性,在此基础上设计基于小波滤波的海面杂波过滤降噪处理技术,最后给出仿真结果。
[Abstract]:The sea terrain environment is complex, for the small target recognition system, the resolution of target recognition becomes lower because of the influence of sea surface clutter. It is easy to overlap with the fast moving small object, and it is difficult to recognize the target. Wavelet filter is an efficient noise filtering algorithm, which has a good filtering effect on the sea surface clutter in target detection. In this paper, the frequency characteristics of sea clutter are studied, and the noise reduction technology based on wavelet filtering is designed. Finally, the simulation results are given.
【作者单位】：河北软件职业技术学院;
【分类号】：P715

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