Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G

TL;DR

This paper provides a theoretical justification for the advantages of joint DOA and delay estimation over DOA-only methods in indoor localization, supported by simulations in WiFi settings.

Contribution

It offers the first theoretical proof of the benefits of joint DOA and delay estimation for indoor localization, complemented by simulation results.

Findings

Theoretical proof of joint DOA and delay estimation benefits

Simulation results demonstrating improved localization accuracy

Availability of MATLAB code for reproducibility

Abstract

Accurate indoor localization has long been a challenging problem due to the presence of multipath. Joint direction-of-arrival (DOA) and time delay (TD) estimation is a promising technique for accurate indoor Localization in next generation WiFi and 5G, as it has the capability of separating the line-of-sight (LOS) signal from multipath signals in the TD space. Although the benefit of joint DOA and TD estimation over DOA-only estimation has been empirically shown long ago, it has not been theoretically justified yet. In this paper, we provide a theoretical proof of the benefit of joint DOA and TD estimation over DOA-only estimation. Further, experimental results with simulated WiFi setting have been provided to demonstrate the theoretical finding. Matlab code is available at \textbf{https://github.com/FWen/JADE.git}.