论文标题
MIMO OTFS的关节雷达目标检测和参数估计
Joint Radar Target Detection and Parameter Estimation with MIMO OTFS
论文作者
论文摘要
由未来的汽车应用激励，我们使用正交时频率空间（OTF）研究了联合目标检测和参数估计问题，这是一种数字调制格式，可与时间频率选择性通道进行鲁棒性。假设发射器配备了单静态MIMO雷达，我们提出了一种有效的基于最大似然的方法来检测目标并估算相应的延迟，多普勒和到达角度的参数。为了降低与高维搜索相关的计算复杂性，我们的方案分为两个步骤，即目标检测和粗参数估计，然后进行精制参数估计。有趣的是，我们的数值结果表明，如果在三个域中至少有一个域（延迟，多普勒和角度）在一个域中分离，则提出的方案能够识别多个目标，同时实现Cramér-rao下限以进行参数估计。
Motivated by future automotive applications, we study the joint target detection and parameter estimation problem using orthogonal time frequency space (OTFS), a digital modulation format robust to time-frequency selective channels. Assuming the transmitter is equipped with a mono-static MIMO radar, we propose an efficient maximum likelihood based approach to detect targets and estimate the corresponding delay, Doppler, and angle-of-arrival parameters. In order to reduce the computational complexity associated to the high-dimensional search, our scheme proceeds in two steps, i.e., target detection and coarse parameter estimation followed by refined parameter estimation. Interestingly, our numerical results demonstrate that the proposed scheme is able to identify multiple targets if they are separated in at least one domain out of three (delay, Doppler, and angle), while achieving the Cramér-Rao lower bound for the parameter estimation.
