Power Allocation and Parameter Estimation for Multipath-based 5G Positioning

Abstract

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.

30 pages, 6 figures, submitted to IEEE Transactions on Wireless Communications

References in corpus (4)

• Position and Orientation Estimation through Millimeter Wave MIMO in 5G Systems
• A Belief Propagation Algorithm for Multipath-Based SLAM
• Optimal Precoders for Tracking the AoD and AoA of a mm-Wave Path
• Performance Limits of Single-Anchor Millimeter-Wave Positioning

Cited by in corpus (3)

• An Iterative 5G Positioning and Synchronization Algorithm in NLOS Environments with Multi-Bounce Paths
• On the Ground and in the Sky: A Tutorial on Radio Localization in Ground-Air-Space Networks
• RIS-aided Joint Localization and Synchronization with a Single-Antenna Receiver: Beamforming Design and Low-Complexity Estimation