Dual-Use Signal Design for Radar and Communication via Ambiguity Function Sidelobe Control

This article considers the dual-use unimodular signal design for a novel dual-functional radar-communication (DFRC) architecture. The information of downlink communication is modulated via the ambiguity function (AF) sidelobe nulling in the prescribed range-Doppler cells. At the same time, the sidel...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 69; no. 9; pp. 9781 - 9794
Main Authors: Yang, Jing, Cui, Guolong, Yu, Xianxiang, Kong, Lingjiang
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Ambiguity
Ambiguity function (AF) shaping
Approximation algorithms
Communication
Demodulation
Doppler effect
dual-functional radar-communication (DFRC) system
Figure of merit
fractional-alternating direction penalty method (FADPM)
Frequency modulation
Iterative methods
Mathematical programming
Optimization
Phase shift keying
Radar detection
Sidelobes
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:This article considers the dual-use unimodular signal design for a novel dual-functional radar-communication (DFRC) architecture. The information of downlink communication is modulated via the ambiguity function (AF) sidelobe nulling in the prescribed range-Doppler cells. At the same time, the sidelobe around the AF mainlobe is suppressed to ensure the radar detection performance. User equipment (UE) computes the AF of the received signal to make a judgment of the position of nulling for achieving demodulation. To this end, an objective function to evaluate the depth of nulling in AF is developed as figure of merit accounting for the worst-case sidelobe level ratio over the range-Doppler cells of interest. The resultant design is very challenging to solve due to the non-convex and non-smooth quartic fractional objective function and the NP-hard constant modulus constraint. Herein, we develop a fractional-alternating direction penalty method (FADPM) algorithm that invokes the fractional program theory and the ADPM framework. Specifically, we formulate a new ADPM form through introducing an auxiliary variable and resorting to the Dinkelbach's procedure. In each iteration, we transform the original quartic fractional program into two quadratic optimization subproblems both of which are approximated successively through a series of convex subproblems. We also provide the analytical convergence guarantee of the proposed FADPM algorithm. The simulation results verify the performance of the proposed algorithm and exhibit the effectiveness of the DFRC framework in modulation and demodulation process guaranteeing that a high data rate is achievable.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.3002773