Pulse Shape-Aided Multipath Parameter Estimation for Fine-Grained WiFi Sensing
Publication in refereed journal
Officially Accepted for Publication

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AbstractDue to the finite bandwidth of practical wireless systems, one multipath component can manifest itself as a discrete pulse consisting of multiple taps in the digital delay domain. This effect is called channel leakage , which complicates the multipath parameter estimation. In this study, we propose a new algorithm to estimate multipath parameters, including delay, angle of arrival (AOA), and angle of departure (AOD) of leaked channels. This is accomplished by leveraging the knowledge of pulse shaping functions, a technique that can be applied to enhance the precision of WiFi sensing. More specifically, we formulate the channel impulse response (CIR) between a transmit and a receive antenna as a linear combination of a set of overcomplete basis vectors, each corresponding to a different delay. Considering the limited number of paths in physical environments, we formulate the multipath parameter estimation as a group sparse recovery problem. We develop a two-stage approach based on variational expectation maximization (VEM) to solve the formulated problem. In the first stage, we estimate the sparse vectors and determine the number of physical paths and their associated delay parameters from the positions of the nonzero entries. In the second stage, we use Newton’s method to estimate the AOA and AOD of each path. The Cramér-Rao lower bound (CRLB) for multipath parameter estimation is derived for performance evaluation. Simulation results show that our algorithm can achieve superior estimation accuracy in multipath parameters compared to two benchmarking schemes and approach the CRLB.
Acceptance Date06/05/2024
All Author(s) ListKe Xu, Rui Zhang, He Chen
Journal nameIEEE Transactions on Communications
Year2024
PublisherIEEE
ISSN0090-6778
LanguagesEnglish-United States

Last updated on 2024-19-08 at 10:36