论文标题
基于多路径的5G定位的功率分配和参数估计
Power Allocation and Parameter Estimation for Multipath-based 5G Positioning
论文作者
论文摘要
我们考虑使用不完美同步的发射机(TX)和接收器(RX)时钟的单锚多输入多输出(MIMO)正交频部多路复用(OFDM)系统,其中RX基于接收到的参考信号估算其位置。具有(不完美的)关于RX位置和周围几何形状的(不完美的)先验知识的TX,根据一组固定梁传输参考信号。在这项工作中,我们制定了旨在最大程度地减少RX定位的预期Cramér-Rao下限(CRLB)的梁之间的功率分配策略。包括对设计的其他约束,以确保以高概率检测到视线(LOS)路径。此外,还研究了时钟异步对产生的分配策略的影响。我们还提出了一种基于网状的传感位置估计算法,该算法利用了由非视线路径提供的时钟偏移中的信息,并表明它在渐近效率上。
We consider a single-anchor multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system with imperfectly synchronized transmitter (Tx) and receiver (Rx) clocks, where the Rx estimates its position based on the received reference signals. The Tx, having (imperfect) prior knowledge about the Rx location and the surrounding geometry, transmits the reference signals based on a set of fixed beams. In this work, we develop strategies for the power allocation among the beams aiming to minimize the expected Cramér-Rao lower bound (CRLB) for Rx positioning. Additional constraints on the design are included to ensure that the line-of-sight (LOS) path is detected with high probability. Furthermore, the effect of clock asynchronism on the resulting allocation strategies is also studied. We also propose a gridless compressed sensing-based position estimation algorithm, which exploits the information on the clock offset provided by non-line-of-sight paths, and show that it is asymptotically efficient.