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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