虚拟空间平滑算法

Virtual Spatial Smoothing Algorithm

根据MASK、BPSK和AM等信号的实值特性,利用阵列接收数据及其共轭信息,构造了虚拟子阵,提出了虚拟空间平滑算法,较好地解决了信号高度相关问题.虚拟子阵具有M个阵元,避免了阵列孔径的损失,使该算法最大可分辨的相干信号数目为M-1.仿真实验证明,与前后空间平滑算法相比,该算法提高了空间分辨率,适应小样本,在一定程度上可以降低了计算量.

Exploiting the real-valued property of modulated signals,such as MASK,BPSK, and AM, and employing the received signals of all the army elements and their conjugate datas, virtual spatial smoothing algotithm is proposed by designing virtual subarrays for the highly correlated or coherent case. Virtual subarrays with M identical sensors avoid the reduction of the army effective aperture,and make this approach estimate M- 1 coherent signals at most. Finally simulation results show that comparing with forward-backward spatial smoothing algorithm, this algorithm with small snapshots has a better performance and a low computafiooal complexity to some extent.