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An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering

机译:基于多级维纳滤波的改进的空间差异平滑方法

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摘要

In order to solve the angle estimation problem of coherent sources in the colored background noise, an improved forward and backward spatial difference smoothing algorithm is proposed by combining the improved spatial smoothing algorithm with the spatial difference algorithm. By the algorithm we can not only decoherent the coherent source but also suppress the influence of the color noise. In order to further reduce the computational complexity of the IFBSDS algorithm, an improved forward and backward spatial difference smoothing algorithm based on Wiener filtering is also proposed. Thus, the eigenvalue decomposition operation of subspace class algorithm can be avoided, and at the same time, the same performance with the IFBSDS algorithm can be obtained, which is more consistent with the real demand of MIMO radar signal real-time processing.
机译:为了解决彩色背景噪声中相干源的角度估计问题,提出了一种改进的前后空间差异平滑算法,通过将改进的空间平滑算法与空间差分算法组合来求。通过算法,我们不仅可以破坏相干源,还可以抑制颜色噪声的影响。为了进一步降低IFBSDS算法的计算复杂性,还提出了一种基于维纳滤波的改进的前向和后向空间差异平滑算法。因此,可以避免子空间类算法的特征值分解操作,同时可以获得与IFBSD算法相同的性能,与MIMO雷达信号实时处理的真正需求更加一致。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第22期|8515606.1-8515606.8|共8页
  • 作者

    Gong Jian; Guo Yiduo; Wan Qun;

  • 作者单位

    Univ Elect Sci & Technol China Sch Commun & Informat Engn Chengdu Sichuan Peoples R China|Air Force Engn Univ Air & Missile Def Coll Xian Shaanxi Peoples R China|Tong Fang Elect Sci & Technol Co Ltd Jiujiang 332007 Jiangxi Peoples R China;

    Air Force Engn Univ Air & Missile Def Coll Xian Shaanxi Peoples R China;

    Univ Elect Sci & Technol China Sch Commun & Informat Engn Chengdu Sichuan Peoples R China;

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