SLAM for Multiple Extended Targets using 5G Signal

TL;DR

This paper analyzes the performance of 5G signals at 28 GHz for SLAM involving multiple extended targets, introducing a new error metric ET-GOPSA to evaluate mapping accuracy and detection costs.

Contribution

It proposes ET-GOPSA, a novel metric for evaluating 5G SLAM performance with extended targets, and assesses 5G sensing capabilities through simulation under realistic conditions.

Findings

ET-GOPSA effectively evaluates mapping errors and detection costs.

5G sensing at 28 GHz can meet SLAM requirements at SNR=10 dB.

Simulation confirms the feasibility of 5G SLAM for extended targets.

Abstract

5th Generation (5G) mobile communication systems operating at around 28 GHz have the potential to be applied to simultaneous localization and mapping (SLAM). Most existing 5G SLAM studies estimate environment as many point targets, instead of extended targets. In this paper, we focus on the performance analysis of 5G SLAM for multiple extended targets. To evaluate the mapping performance of multiple extended targets, a new mapping error metric, named extended targets generalized optimal sub-pattern assignment (ET-GOPSA), is proposed in this paper. Compared with the existing metrics, ET-GOPSA not only considers the accuracy error of target estimation, the cost of missing detection, the cost of false detection, but also the cost of matching the estimated point with the extended target. To evaluate the performance of 5G signal in SLAM, we analyze and simulate the mapping error of 5G signal sensing by ET-GOPSA. Simulation results show that, under the condition of SNR = 10 dB, 5G signal sensing can barely meet to meet the requirements of SLAM for multiple extended targets with the carrier frequency of 28 GHz, the bandwidth of 1.23 GHz, and the antenna size of 32.