时域加权稀疏约束的空时自适应处理算法

1DT是典型的时空级联的后单多普勒空时自适应处理的方法，能够显著降低对独立同分布样本的需求量和空时自适应处理时的运算量，但是进行时域处理时对主瓣杂波的抑制效果较差。针对此问题，提出一种利用时域滤波器频率响应的稀疏特性进行加权稀疏约束的自适应滤波器设计算法。在时域自适应滤波器的模型中加入对旁瓣的稀疏约束，并构造加权矩阵对稀疏约束加权。仿真实验表明：此方法在有效抑制主瓣杂波的前提下能够降低副瓣,并且当存在天线幅相误差时具有较好的稳健性。

Space-Time Adaptive Processing Algorithm Based on Temporary Weighted Sparse Constraints

1DT is a typical post Doppler space time adaptive processing method, and the method can significantly reduce the demand for independent identically distributing to the samples and the amount of calculations for space time adaptive processing. However, being poor in the process of the mainlobe clutter suppression in the temporary domain, a filter design algorithm with weighted sparse constraints by using the sparse characteristics of the filter frequency response is proposed. A sparse constraint on the sidelobe is added to the model of the time domain filter, and a weighting matrix is constructed to shape the frequency response of the mainlobe clutter. The simulation experiments show that this method can reduce the sidelobe response under condition of effectively suppressing the mainlobe clutter presupposition, and is robust with the presence of array amplitude phase error.