Sequential MAP Parametric OFDM Channel Estimation for Joint Sensing and Communication

TL;DR

This paper proposes a pilot-based maximum likelihood and a posteriori parametric channel estimation method for uplink sensing using OFDM, capable of estimating multipath components including angles, delays, and Doppler effects.

Contribution

It introduces a novel estimation procedure with exact coordinate update expressions, enhancing multipath channel estimation in integrated sensing and communication.

Findings

Provides a new algorithm for multipath parameter estimation

Achieves more accurate channel estimates compared to existing methods

Offers a framework for improved positioning and sensing in uplink scenarios

Abstract

Uplink sensing is still a relatively unexplored scenario in integrated sensing and communication which can be used to improve positioning and sensing estimates. We introduce a pilot-based maximum likelihood, and a maximum a posteriori parametric channel estimation procedure using an orthogonal frequency division multiplexing (OFDM) waveform in uplink sensing. The algorithm is capable of estimating the multipath components of the channel, such as the angles of arrival, departure, path coefficient, and the delay and Doppler terms. As an advantage, when compared to other existing methods, the proposed procedure presents expressions for exact alternating coordinate updates, which can be further improved to achieve a competitive multipath channel estimation tool.