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MU-MIMO communications with MIMO radar: from co-existence to joint transmission

MU-MIMO communications with MIMO radar: from co-existence to joint transmission
MU-MIMO communications with MIMO radar: from co-existence to joint transmission

Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts as radar and a communication base station (BS) by simultaneously communicating with downlink users and detecting radar targets. Two operational options are considered, where we first split the antennas into two groups, one for radar and the other for communication. Under this deployment, the radar signal is designed to fall into the null-space of the downlink channel. The communication beamformer is optimized such that the beampattern obtained matches the radar's beampattern while satisfying the communication performance requirements. To reduce the optimizations' constraints, we consider a second operational option, where all the antennas transmit a joint waveform that is shared by both radar and communications. In this case, we formulate an appropriate probing beampattern, while guaranteeing the performance of the downlink communications. By incorporating the SINR constraints into objective functions as penalty terms, we further simplify the original beamforming designs to weighted optimizations, and solve them by efficient manifold algorithms. Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.

beamforming, beampattern design, MU-MISO downlink, radar-communication co-existence, Riemannian manifold
1536-1276
2755-2770
Liu, Fan
f1a4181c-1d6c-43d1-b27f-cae310d4a02e
Masouros, Christos
f7d74183-a31b-412e-8a75-1a942aa156d8
Li, Ang
b49977ff-900c-4160-98ce-dacd019903b8
Sun, Huafei
dafeb9db-9587-4eaa-8f48-e8e8717e5ea6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Fan
f1a4181c-1d6c-43d1-b27f-cae310d4a02e
Masouros, Christos
f7d74183-a31b-412e-8a75-1a942aa156d8
Li, Ang
b49977ff-900c-4160-98ce-dacd019903b8
Sun, Huafei
dafeb9db-9587-4eaa-8f48-e8e8717e5ea6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Liu, Fan, Masouros, Christos, Li, Ang, Sun, Huafei and Hanzo, Lajos (2018) MU-MIMO communications with MIMO radar: from co-existence to joint transmission. IEEE Transactions on Wireless Communications, 17 (4), 2755-2770. (doi:10.1109/TWC.2018.2803045).

Record type: Article

Abstract

Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts as radar and a communication base station (BS) by simultaneously communicating with downlink users and detecting radar targets. Two operational options are considered, where we first split the antennas into two groups, one for radar and the other for communication. Under this deployment, the radar signal is designed to fall into the null-space of the downlink channel. The communication beamformer is optimized such that the beampattern obtained matches the radar's beampattern while satisfying the communication performance requirements. To reduce the optimizations' constraints, we consider a second operational option, where all the antennas transmit a joint waveform that is shared by both radar and communications. In this case, we formulate an appropriate probing beampattern, while guaranteeing the performance of the downlink communications. By incorporating the SINR constraints into objective functions as penalty terms, we further simplify the original beamforming designs to weighted optimizations, and solve them by efficient manifold algorithms. Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.

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More information

Accepted/In Press date: 2 February 2018
e-pub ahead of print date: 9 February 2018
Published date: 1 April 2018
Keywords: beamforming, beampattern design, MU-MISO downlink, radar-communication co-existence, Riemannian manifold

Identifiers

Local EPrints ID: 419970
URI: http://eprints.soton.ac.uk/id/eprint/419970
ISSN: 1536-1276
PURE UUID: 68518036-d19a-440d-8e45-13d8f1bb550e
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 Apr 2018 16:30
Last modified: 07 Oct 2020 01:33

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