| 引用本文: | 高彦钊,占荣辉,刘盛启,等.二维相关的G0分布雷达杂波仿真.[J].国防科技大学学报,2014,36(5):105-110.[点击复制] |
| GAO Yanzhao,ZHAN Ronghui,LIU Shengqi,et al.Simulation of bi-dimensional correlated G0 distributed radar clutter[J].Journal of National University of Defense Technology,2014,36(5):105-110[点击复制] |
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| 二维相关的G0分布雷达杂波仿真 |
| 高彦钊, 占荣辉, 刘盛启, 万建伟 |
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(国防科技大学 电子科学与工程学院， 湖南 长沙 410073)
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| 摘要: |
| G0分布模型可实现对不同均匀度雷达杂波的较好拟合，二维相关G0分布雷达杂波的精确仿真对雷达系统设计和性能评估具有重要意义。在利用分段多项式拟合的方法近似表示非线性变换的基础上，将二维相关的高斯随机过程作为输入，提出了基于无记忆非线性变换的二维相关G0分布雷达杂波仿真方法。更进一步，为了实现对杂波幅度与相关性的独立控制，并仿真具有同相和正交分量的相参雷达杂波，推导了单视条件下G0分布模型的球不变随机过程特征函数表达式，提出了基于球不变随机过程的仿真方法。仿真结果表明，这两种方法均能够仿真产生满足幅度和相关性要求的二维相关G0分布雷达杂波。 |
| 关键词: 雷达杂波 二维相关 无记忆非线性变换 球不变随机过程 G0 分布 仿真 |
| DOI：10.11887/j.cn.201405018 |
| 投稿日期：2013-12-22 |
| 基金项目:国家自然科学基金资助项目(61002022) |
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| Simulation of bi-dimensional correlated G0 distributed radar clutter |
| GAO Yanzhao, ZHAN Ronghui, LIU Shengqi, WAN Jianwei |
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(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073,China)
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| Abstract: |
| The G0 distribution is capable of fitting radar clutter with different degrees of heterogeneity, so the accurate simulation of bi-dimensional correlated G0 distributed radar clutter is a vital step in the radar system design and evaluation. In the base of the nonlinear transformation which was expressed approximately by the method of piecewise polynomial fitting, the simulation method of bi-dimensional correlated G0 distributed radar clutter based on memoryless nonlinear transformation was proposed by taking the bi-dimensional correlated Gaussian process as input. Furthermore, in order to control the amplitude and correlation of radar clutter independently and simulate coherent radar clutter with in-phase and quadrature component, the characteristic function of the haplopia G0 distribution was derived and the simulation methods based on spherically invariant random process were proposed. Simulation results show that both two methods can generate bi-dimensional correlated G0 distribution radar clutter which meets the requirements of amplitude and correlation. |
| Keywords: radar clutter bi-dimensional correlation memoryless nonlinear transformation spherically invariant random process G0 distribution simulation |
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