Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence

By C. Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou, Sana Salous. IEEE Transactions on Signal Processing, 2018

315 citations recorded by the source corpus.

This paper considers the problem of power minimization-based robust orthogonal frequency division multiplexing (OFDM) radar waveform design, in which the radar coexists with a communication system in the same frequency band. Recognizing that the precise characteristics of target spectra are impossible to capture in practice, it is assumed that the target spectra lie in uncertainty sets bounded by known upper and lower bounds. Based on this uncertainty model, three different power minimization-based robust radar waveform design criteria are proposed to minimize the worst-case radar transmitted power by optimizing the OFDM radar waveform, which are constrained by a specified mutual information requirement for target characterization and a minimum capacity threshold for communication system. These criteria differ in the way the communication signals scattered off the target are considered: 1) as useful energy, 2) as interference, or 3) ignored altogether at the radar receiver. Numerical simulations demonstrate that the radar transmitted power can be efficiently reduced by exploiting the communication signals scattered off the target at the radar receiver. It is also shown that the robust waveforms bound the worst-case power-saving performance of radar system for any target spectra in the uncertainty sets.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/237ceeecafd3dc3f87b14dfe42f41d614033bf9d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “For instance, in [133], a power allocation and subcarrier selection scheme is designed to minimize the”
Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, background): “Also, motivated by the recent development of multi-carrier waveform-based radar sensing systems [15], the orthogonal frequency division multiplexing (OFDM) technique [16] has attracted numerous attentions for realizing ISAC.”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, methodology): “From the radar sensing perspective, OFDM-like radar signals decouple the range and Doppler estimators in contrast to conventional radar systems, which provides a better target estimation performance [9].”