基于非均匀线列阵的多目标DOA估计

DOA Estimation of Multiple Targets with Sub-Nyquist Spatial Sampling Based on Non-uniform Linear Array

针对空间欠采样下多个窄带信号方位估计问题,提出了一种基于非均匀线列阵的多目标波到达方向(direction-of-arrival,DOA)估计方法。非均匀线列阵由多个均匀线列阵组成,给出了多目标DOA估计时多个均匀线列阵阵元间距间需满足的几何条件。利用闭合形式解的同时估计多个实数的广义稳健中国剩余定理解方位角模糊,减少了重构算法的运算量。仿真实例表明提出的非均匀线列阵可以在空间欠采样情况下对多个窄带信号进行方位估计,且精度高、稳健性好。

In this paper, we propose a new approach to estimating direction of arrivals(DOAs) of multiple narrowband signals with sub-Nyquist spatial sampling based on non-uniform linear array. A new model of non-uniform linear array was established, which consists of several ULAs and its geometry condition for DOA estimation was obtained based onGeneralized Robust Chinese Remainder Theorem(GRCRT) for multiple numbers. What’s more, a closed-form GRCRT for multiple numbers was applied for DOA ambiguity resolution, which solves the problem of large computational complexity. The simulation results show preliminarily that our new approach based on non-uniform linear array can indeed accurately and robustly estimate DOAs of multiple narrowband signals.