Waveform Design for Joint Radar-Communications with Low Complexity Analog Components

Kaushik，Aryan1; Arora，Aakash2,3; Tsinos，Christos2; Masouros，Christos4; Liu，Fan5; Chatzinotas，Symeon2

10.1109/JCS54387.2022.9743508

2022

2nd IEEE International Symposium on Joint Communications and Sensing (JC and S)

978-1-6654-0580-5

2022 2nd IEEE International Symposium on Joint Communications and Sensing, JC and S 2022

1-5

9-10 March 2022

Seefeld, Austria

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this paper, we aim to design an efficient and low hardware complexity based dual-function multiple-input multiple-output (MIMO) joint radar-communication (JRC) system. It is implemented via a low complexity analog architecture, constituted by a phase shifting network and variable gain amplifier. The proposed system exploits the multiple antenna transmitter for the simultaneous communication with multiple downlink users and radar target detection. The transmit waveform of the proposed JRC system is designed to minimize the downlink multi-user interference such that the desired radar beampattern is achieved and the architecture specific constraints are satisfied. The resulting optimization problem is non-convex and in general difficult to solve. We propose an efficient algorithmic solution based on the primal-dual framework. The numerical results show enhanced performance of the proposed approach when compared to existing state-of-the-art fully-digital method.

Joint radar-communications low hardware complexity MIMO phase shifter primal-dual waveform design

其他

英语

CPCI-S ; EI

UK EPSRC[EP/S026622/1]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000835384400012

20221712026456

Antennas ; Gain control ; MIMO radar ; MIMO systems ; Network architecture ; Numerical methods ; Phase shifters ; Variable gain amplifiers ; Voltage regulators

Amplifiers:713.1 ; Electronic Circuits Other Than Amplifiers, Oscillators, Modulators, Limiters, Discriminators or Mixers:713.5 ; Radar Systems and Equipment:716.2 ; Computer Systems and Equipment:722 ; Specific Variables Control:731.3 ; Control Equipment:732.1 ; Numerical Methods:921.6

2-s2.0-85125769700

Scopus

1.School of Engineering and Informatics,University of Sussex,United Kingdom
2.Interdisciplinary Centre for Security,Reliability and Trust,University of Luxembourg,Luxembourg
3.Huawei Technologies Sweden AB,Sweden
4.University College London,Department of Electronic and Electrical Engineering,United Kingdom
5.Southern University of Science and Technology,Department of Electrical and Electronic Engineering,China

Kaushik，Aryan,Arora，Aakash,Tsinos，Christos,et al. Waveform Design for Joint Radar-Communications with Low Complexity Analog Components[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:1-5.