论文标题
与OTF调制的混合数字分析和MIMO雷达
Hybrid Digital-Analog Beamforming and MIMO Radar with OTFS Modulation
论文作者
论文摘要
由未来的汽车应用激发，我们研究了一些联合雷达目标检测和参数估计问题，配备单静态MIMO雷达的发射器希望检测多个目标，然后估算其各自的参数，同时使用正交时间频率空间（OTFS）调制量同时通信信息数据。假设射频链的数量小于MMWave频带上天线的数量，我们在适应于不同操作阶段的雷达发射器上设计混合数字数字Analog Beam。第一种方案考虑了宽的角梁，以执行目标检测和参数估计，同时将通用消息多播放给所有可能的活动用户。第二种情况考虑狭窄的角梁将信息流分别发送给已经检测到的用户，并同时跟踪其各自的参数。在此设置下，我们提出了一种有效的最大似然方案与杂化光束形成，以共同执行目标检测和参数估计。我们的数值结果表明，所提出的算法能够可靠地检测到具有足够数量的天线的多个目标，并实现Cramér-rao下限以进行雷达参数估计，例如延迟，多普勒和偏置角（AOA）。
Motivated by future automotive applications, we study some joint radar target detection and parameter estimation problems where the transmitter, equipped with a mono-static MIMO radar, wishes to detect multiple targets and then estimate their respective parameters, while simultaneously communicating information data using orthogonal time frequency space (OTFS) modulation. Assuming that the number of radio frequency chains is smaller than the number of antennas over the mmWave frequency band, we design hybrid digital-analog beamforming at the radar transmitter adapted to different operating phases. The first scenario considers a wide angular beam in order to perform the target detection and parameter estimation, while multicasting a common message to all possible active users. The second scenario considers narrow angular beams to send information streams individually to the already detected users and simultaneously keep tracking of their respective parameters. Under this setup, we propose an efficient maximum likelihood scheme combined with hybrid beamforming to jointly perform target detection and parameter estimation. Our numerical results demonstrate that the proposed algorithm is able to reliably detect multiple targets with a sufficient number of antennas and achieves the Cramér-Rao lower bound for radar parameter estimation such as delay, Doppler and angle-of-arrival (AoA).
