基于稀疏恢复的自适应角度多普勒补偿方法

自适应角度多普勒补偿方法是补偿机载非正侧阵雷达杂波距离相关性的有效手段，该方法解决了角度多普勒补偿方法处理性能受系统误差影响较大的问题，可以实现杂波距离相关性的自适应补偿。但该方法利用子孔径平滑估计杂波协方差矩阵，存在孔径损失，系统自由度下降，估计准确度下降。此外，该方法还存在着运算量大的问题，不利于实时实现。本文提出了一种基于稀疏恢复的自适应角度多普勒补偿方法，并利用正交投影逼近子空间追踪方法对估计杂波协方差矩阵进行特征分解。与常规自适应角度多普勒补偿方法相比，本文方法运算量显著降低，杂波补偿性能更优。理论分析和仿真结果验证了该方法的有效性。

Adaptive Angle Doppler Compensation Method Based on Sparse Recovery

The clutter of non-side looking airborne radar always has severe range-dependence which is more significant in short range. Adaptive angle Doppler compensation method is an effective method to reduce the disadvantage caused by clutter range-dependence. This method is not affected by the system error and can realize the adaptive compensation of clutter range-dependence. However, the adaptive angle Doppler compensation method get the clutter covariance matrix estimation based on a sub-snapshot spectrum using temporal smoothing, which results in declination of estimation accuracy and degree of system freedom. Moreover, this method is not suitable for real-time implementation because of the big amount of calculation. In this paper, a novel adaptive angle Doppler compensation method based on sparse recovery is proposed. The proposed method estimates the clutter covariance matrix using clutter spectral distribution which is got by sparse recovery, and implements the orthonormal projection approximation subspace tracking method to decompose the clutter covariance matrix instead of eigenvalue decomposition method. Compared with traditional adaptive angle Doppler compensation methods, the proposed method greatly promotes the performance of the compensation, especially main-lobe clutter compensation. In addition, the proposed method also has a small amount of calculation. The theoretical analysis and experimental simulations demonstrate the validity of this method.