[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 基于平行因子分析的时空非均匀采样下双基地MIMO雷达目标参数联合估计算法-Joint Estimation of Target Parameters for Bistatic MIMO Radar Based on Parallel Factor Analysis under Spatiotemporal Non Uniform Sampling
文章摘要
李云成,崔琛,龚阳.基于平行因子分析的时空非均匀采样下双基地MIMO雷达目标参数联合估计算法[J].空军工程大学学报:自然科学版,2018,19(6):66-72
基于平行因子分析的时空非均匀采样下双基地MIMO雷达目标参数联合估计算法
Joint Estimation of Target Parameters for Bistatic MIMO Radar Based on Parallel Factor Analysis under Spatiotemporal Non Uniform Sampling
  
DOI:
中文关键词: 双基地MIMO雷达  平行因子分析  时空非均匀采样  交替最小二乘
英文关键词: bistatic MIMO radar  parallel factor analysis  spatiotemporal non uniform sampling  alternate least square
基金项目:
作者单位
李云成,崔琛,龚阳 国防科技大学电子对抗学院,合肥,230037 
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中文摘要:
      提出了一种基于平行因子分析的时空非均匀采样下双基地MIMO雷达收发角及多普勒频率联合估计算法。首先计算K级非均匀延迟器输出数据的协方差矩阵并对该矩阵进行变换和去冗余处理,然后将新数据转化为三阶张量并对其进行降维处理,最后通过交替最小二乘和Root MUSIC算法估计出目标收发角和多普勒频率。该算法实现了时域和空域孔径自由度的二次扩展,提高了参数估计精度,降低了运算量。此外,通过最小冗余配置,实现了孔径的高效扩展,降低了系统配置需求。仿真结果验证了所提算法的有效性。
英文摘要:
      This paper proposes a joint estimation of target parameters for bistatic MIMO radar based on parallel factor analysis under spatiotemporal non uniform sampling. Firstly, the covariance matrix of the K level non uniform delays output data is calculated and transformed, and the redundant items of this matrix are deleted. Then, the new matrix is transformed to a third order tensor and its dimension is reduced. Lastly, the Direction of Departure (DOD), Direction of Arrival (DOA) and Doppler frequency are estimated through Alternate Least Square (ALS) and Root MUSIC algorithms. The secondary expansion of the aperture degree of freedom both in time and space domain is attained by the proposed method. And the parameter estimation accuracy is improved while the amount of computation is reduced. Besides, the aperture is efficiently expanded and the system configuration requirements are reduced through the minimum redundancy configuration. The result shows that the proposed method is valid.
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