计算机科学 ›› 2016, Vol. 43 ›› Issue (10): 120-124.doi: 10.11896/j.issn.1002-137X.2016.10.022

• 网络与通信 • 上一篇    下一篇

应用形态学滤波的卫星通信窄带干扰检测新方法

胡婧,边东明,谢智东,李永强   

  1. (解放军理工大学通信工程学院 南京210007),(解放军理工大学通信工程学院 南京210007),(解放军理工大学通信工程学院 南京210007),(解放军理工大学通信工程学院 南京210007)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受863国家基金项目(2012AA121605),国家自然科学基金项目(91338201,91438109,61401507)资助

New Approach for Narrow Band Interference Detection in Satellite Communication Using Morphological Filter

HU Jing, BIAN Dong-ming, XIE Zhi-dong and LI Yong-qiang   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对频分多路(FDMA)卫星通信系统中转发器的信号数量、模式多变,利用单一阈值难以实现多个同频窄带干扰同时检测的问题,提出了一种基于形态学处理的窄带干扰检测方法。该方法将信号的频谱视为一维灰度图像,结合改进的图形图像处理领域的形态学梯度滤波算法,通过检测干扰的边缘梯度跳变值来实现干扰信号的定位。仿真结果表明,当监测频宽内多个不同参数的信号都存在窄带干扰时,所提方法不受噪声基底变化的影响,运算量小,复杂度低,适用于卫星通信系统的实时频谱监测。

关键词: 卫星通信,形态学,梯度值,窄带干扰检测,噪声基底

Abstract: How to precisely detect co-channel narrow band interferences using single threshold is a challenge in frequency division multiple access (FDMA) satellite communication system,especially in the condition of many signals which parameters are different.A new method for narrow band interference detection in satellite communication was proposed based on mathematical morphology.The method uses an improved morphological gradient filter which belongs to image and graphics filed to deal with the spectrum data that is viewed as one-dimensional gray-scale image,and then searches the gradient of interference edges to detect the position of it.Simulation results show that the proposed method can detect the narrow band interference at one time when there are different signals with interference.It is not affected by the non-flat noise floor and has low computational complexity.It is suitable for real spectrum monitoring in satellite communication system.

Key words: Satellite communication,Morphology,Gradient,Narrow band interference detection,Noise floor

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