论文标题
Bistatic MMWave无线电大满贯中的多普勒剥削
Doppler Exploitation in Bistatic mmWave Radio SLAM
论文作者
论文摘要
5G及以后的网络利用毫米波（MMWAVE）无线电信号，大带宽和大型天线阵列，这些阵列带来了共同定位用户设备并映射传播环境的机会，称为同时定位和映射（SLAM）。现有方法主要依赖于延迟和角度，尽管包含几何信息，但忽略了多普勒。在本文中，我们研究了通过推导后cramér-rao边界（PCRB）来利用多普勒在SLAM中的好处，并将扩展的Kalman-Poisson Multi-Bernoulili顺序滤波用多普勒作为涉及测量值之一。理论PCRB分析和仿真结果都证明了使用多普勒的功效。
Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM). Existing approaches mainly rely on delays and angles, and ignore the Doppler, although it contains geometric information. In this paper, we study the benefits of exploiting Doppler in SLAM through deriving the posterior Cramér-Rao bounds (PCRBs) and formulating the extended Kalman-Poisson multi-Bernoulli sequential filtering solution with Doppler as one of the involved measurements. Both theoretical PCRB analysis and simulation results demonstrate the efficacy of utilizing Doppler.
