Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

TL;DR

This paper explores how OTFS modulation can be used for radar sensing by connecting it with delay-Doppler signal processing, proposing a new 2D correlation algorithm for target parameter estimation.

Contribution

It reveals the exact relationship between OTFS demodulation and DD radar processing and introduces a novel 2D correlation-based method for estimating target delays and Doppler shifts.

Findings

OTFS demodulation corresponds to DD radar signal processing.

The proposed algorithm accurately estimates multiple target parameters.

Simulation confirms efficiency in delay-Doppler target detection.

Abstract

The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for radar sensing, it is natural to consider implementing DD signal processing for radar sensing. In this paper, we investigate the potential connections between the OTFS and DD domain radar signal processing. Our analysis shows that the range-Doppler matrix computing process in radar sensing is exactly the demodulation of OTFS with a rectangular pulse shaping filter. Furthermore, we propose a two-dimensional (2D) correlation-based algorithm to estimate the fractional delay and Doppler parameters for radar sensing. Simulation results show that the proposed algorithm can efficiently obtain the delay and Doppler shifts associated with multiple targets.