Transmit Waveform Design for Dual-Function Radar-Communication Systems via Hybrid Linear-Nonlinear Precoding

TY – JOUR

T1 – Transmit Waveform Design for Dual-Function Radar-Communication Systems via Hybrid Linear-Nonlinear Precoding

AU – Wen, Cai

AU – Huang, Yan

AU – Zheng, Le

AU – Liu, Weijian

AU – Davidson, Timothy N.

N1 – Publisher Copyright:
© 1991-2012 IEEE.

PY – 2023

Y1 – 2023

N2 – This article develops a transmit (Tx) waveform design technique for dual-function radar-communication systems that provide both multiple-input multiple-output (MIMO) radar and multi-user multiple-input single-output (MU-MISO) communication functionalities. We propose a hybrid linear-nonlinear precoding (HLNP) signaling scheme, in which the dual-use waveform is the superposition of linearly-precoded communication symbols and a nonlinearly-precoded waveform that improves the radar performance. To attain good radar Tx beampattern and waveform ambiguity properties, we focus on optimizing a weighted sum of the integrated main-lobe-to-sidelobe ratio (IMSR) of the Tx beampatttern and a novel angular waveform similarity metric, while ensuring a predefined signal-to-interference-plus-noise ratio (SINR) for each communication user. Practical constraints are imposed on the Tx waveform, including per-antenna power and peak-to-average-power ratio (PAPR) constraints. We propose an extended feasible point pursuit successive convex approximation (EFPP-SCA) algorithm to solve the resultant nonconvex problem and establish its convergence properties. To reduce the computational cost of designing a long Tx waveform, we further introduce a sub-block design technique. Numerical examples indicate that the proposed HLNP provides a superior performance tradeoff between sensing and communication compared to conventional nonlinear precoding.

AB – This article develops a transmit (Tx) waveform design technique for dual-function radar-communication systems that provide both multiple-input multiple-output (MIMO) radar and multi-user multiple-input single-output (MU-MISO) communication functionalities. We propose a hybrid linear-nonlinear precoding (HLNP) signaling scheme, in which the dual-use waveform is the superposition of linearly-precoded communication symbols and a nonlinearly-precoded waveform that improves the radar performance. To attain good radar Tx beampattern and waveform ambiguity properties, we focus on optimizing a weighted sum of the integrated main-lobe-to-sidelobe ratio (IMSR) of the Tx beampatttern and a novel angular waveform similarity metric, while ensuring a predefined signal-to-interference-plus-noise ratio (SINR) for each communication user. Practical constraints are imposed on the Tx waveform, including per-antenna power and peak-to-average-power ratio (PAPR) constraints. We propose an extended feasible point pursuit successive convex approximation (EFPP-SCA) algorithm to solve the resultant nonconvex problem and establish its convergence properties. To reduce the computational cost of designing a long Tx waveform, we further introduce a sub-block design technique. Numerical examples indicate that the proposed HLNP provides a superior performance tradeoff between sensing and communication compared to conventional nonlinear precoding.

KW – Dual-function radar-communication

KW – MIMO radar

KW – MU-MISO communication

KW – feasible-point-pursuit SCA

KW – hybrid linear-nonlinear precoding

UR – www.scopus.com/inward/record.url?scp=85161076866&partnerID=8YFLogxK

U2 – 10.1109/TSP.2023.3278858

DO – 10.1109/TSP.2023.3278858

M3 – Article

AN – SCOPUS:85161076866

SN – 1053-587X

VL – 71

SP – 2130

EP – 2145

JO – IEEE Transactions on Signal Processing

JF – IEEE Transactions on Signal Processing

ER –

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