极化空时联合处理应用于相控阵雷达分析

Analysis of Joint Polarization-Space-Time ProcessingMethods with Applications in Phased Array Radars

  • 摘要: 通过理论分析和仿真实验,分析了非高斯杂波环境下相控阵雷达采用极化空时联合广义似然比检测(PST-GLR)算法和局域化的极化空时联合广义似然比检测(PSTL-GLR)算法的目标探测能力。结果表明,PST-GLR算法具有较强的抗非高斯杂波的能力,但它在目标探测过程中需要大量的回波数据估计杂波和噪声的协方差矩阵。尽管PSTL-GLR算法在目标探测过程中所需的回波数据量较小,但其探测能力在非高斯杂波环境下却严重下降,失去了有效性。

     

    Abstract: Most of previous conclusions on the target detection ability increase of phased array radars byutilizing the joint polarization-space-time processing methods were obtained under the environment of Gaussianclutters. The real clutter environments are much more complex than that showed by Gaussian clutter models. Bymeans of the theoretical analysis and the simulation experiments, the target detection ability of phased array radarwith the polarization-space-time generalized likelihood radio (PST-GLR) algorithm and joint polarizationzspace-time localize GLR (PSTL-GLR) algorithm are analyzed under the environment of non-Gaussian clutters.The results show that the PST-GLR algorithm is robust against non-Gaussian clutters, but it requires largenumbers of echo data to estimate the covariance matrix of clutters and noises in the process of target detection.Although PSTL-GLR algorithm requires less echo data in the process of target detection, its target detection abilitydegraded seriously so that it is invalidation under the environment of non-Gaussian clutters.

     

/

返回文章
返回