# Performance Analysis of Joint Radar and Communication using OFDM and   OTFS

**Authors:** Lorenzo Gaudio, Mari Kobayashi, Bj\"orn Bissinger, Giuseppe Caire

arXiv: 1902.01184 · 2019-02-07

## TL;DR

This paper analyzes a joint radar and communication system using OFDM and OTFS, demonstrating that it can achieve accurate target estimation while maintaining high data rates, suitable for vehicular applications.

## Contribution

It derives the ML estimator and CRLB for joint velocity and range estimation in a single-target scenario, showing comparable performance to traditional radar waveforms with added data transmission.

## Key findings

- Both OFDM and OTFS achieve accurate range/velocity estimation.
- Digital modulation formats can match FMCW radar performance.
- High data rates are possible without degrading radar estimation.

## Abstract

We consider a joint radar estimation and communication system using orthogonal frequency division multiplexing (OFDM) and orthogonal time frequency space (OTFS) modulations. The scenario is motivated by vehicular applications where a vehicle equipped with a mono-static radar wishes to communicate data to its target receiver, while estimating parameters of interest related to this receiver. By focusing on the case of a single target, we derive the maximum likelihood (ML) estimator and the Cram\'er-Rao lower bound on joint velocity and range estimation. Numerical examples demonstrate that both digital modulation formats can achieve as accurate range/velocity estimation as state-of-the-art radar waveforms such as frequency modulated continuous wave (FMCW) while sending digital information at their full achievable rate. We conclude that it is possible to obtain significant data transmission rate without compromising the radar estimation capabilities of the system.

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/1902.01184/full.md

## References

12 references — full list in the complete paper: https://tomesphere.com/paper/1902.01184/full.md

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Source: https://tomesphere.com/paper/1902.01184