直接数据域空时自适应单脉冲方法

发布时间：2018-09-09 18:43

【摘要】：机载雷达空时自适应处理(space-time adaptive processing,STAP)与单脉冲技术相结合可以实现对运动目标空、时参数的估计。然而,在非均匀环境下,由于同分布快拍数有限,杂波协方差矩阵难以准确估计,常常导致STAP方法性能急剧下降甚至失效,进而无法有效实现目标检测和参数估计。本文提出一种直接数据域的动目标空时参数估计方法,该方法首先应用幅相估计谱(amplitude and phase estimation,APES)谱估计由被检测单元数据估计出杂波干扰协方差矩阵,然后利用STAP技术抑制杂波和干扰,并结合单脉冲理论实现对目标角度和多普勒频率的估计。仿真结果表明,与传统单脉冲方法相比,新方法具有自适应抑制杂波干扰的能力和更好的估计性能;同时由于无需参考数据,该方法更适应于非均匀环境。
[Abstract]:Combined with airborne radar space-time adaptive processing (space-time adaptive processing,STAP) and monopulse technique, the space-time parameters of moving targets can be estimated. However, in the non-uniform environment, due to the limited number of beats in the same distribution, the clutter covariance matrix is difficult to estimate accurately, which often leads to a sharp decline or even failure of the performance of the STAP method, which can not effectively achieve target detection and parameter estimation. In this paper, a direct data domain space-time parameter estimation method for moving targets is proposed. In this method, the clutter interference covariance matrix is estimated from the detected unit data by using the amplitude and phase estimation spectrum (amplitude and phase estimation,APES. Then STAP technique is used to suppress clutter and interference, and the estimation of target angle and Doppler frequency is realized based on monopulse theory. The simulation results show that the new method has the ability of adaptive clutter suppression and better estimation performance than the traditional monopulse method, and it is more suitable for non-uniform environment because of no reference data.
【作者单位】：中国民航大学智能信号与图像处理天津市重点实验室;
【基金】：国家自然科学基金(61231017,U1333106) 中央高校基本科研业务费(3122016D004)资助课题
【分类号】：TN959.73

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