基于载波变频稀疏采样与阵列移动的TOA-DOA联合估计

Joint TOA-DOA Estimation Based on Carrier Frequency Conversion Sparse Sampling and Sparse Array Motion

文中提出了一种利用少量传感器和少量快拍实现多目标波达时间(Time of Arrival,TOA)和波达方向(Direction Of Arrival,DOA)联合估计的方法。该方法设计了一种基于移动平台的完全稀疏阵列,保证不同时间的阵列位置合成后不存在重叠,并且通过差分变换可以得到更大的阵列孔径。同时,考虑了载波频率变换场景下一种新的稀疏采样方法,可以利用少量的快拍得到大量的虚拟数据,进而能够实现小快拍条件下TOA/DOA的精确估计。仿真结果表明,与传统的均匀线性阵列结合均匀采样的方式相比,文中所提方法能够识别更多的目标。同时,该方法的估计精度优于基于固定平台的嵌套阵列结合嵌套采样的方式。

In this paper,a method for joint estimation of time of arrival(TOA)and direction of arrival(DOA)of multiple targets using a small number of sensors and a limited number of snapshots is proposed.The method designs a completely sparse array based on a moving platform,ensuring that there is no overlap of synthesized arrays before and after movement,and it achieves a larger array aperture through differential transformation.Additionally,a sparse sampling method with carrier frequency variation is designed,which can use a small number of snapshots to generate a large amount of virtual data,thereby enabling accurate TOA/DOA estimation under limited snapshots.Simulation results show that compared to the traditional approach of combining a uniform linear array(ULA)with uniform sampling,the proposed method can identify more targets.Furthermore,this method's estimation accuracy surpasses the approach of nested array combined with nested sampling based on a fixed platform.