Hybrid Index Modulation for Dual-Functional Radar Communications Systems

Xu, Jing; Wang, Xiangrong; Aboutanios, Elias; Cui, Guolong

doi:10.1109/tvt.2022.3219888

Cited by 27 publications

(2 citation statements)

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“…Unlike the existing approaches [32][33][34], the SPIA modulation methodology is proposed instead of using a conventional communication sequence. Additionally, previous works on DFRC signal design have focused on index modulation [14][15][16][17][18][19], primarily utilizing intra-pulse modulation without altering the conventional radar baseband signal. However, in this paper, we focus on index modulation via inter-pulse modulation, where the baseband signal is modified as an alternative to intra-pulse modulation.…”

Section: Discussionmentioning

confidence: 99%

“…[13] maximizes the Signal to Interference plus Noise Ratio (SINR) under power and communication modulation constraints. To improve the data rate, related studies [14][15][16][17][18][19] have introduced the concept of index modulation in dual-function signal design by drawing inspiration from index modulation techniques employed in the communication literature [20][21][22]. It is important to note that the distinction between these studies lies in the specific application scenario.…”

Section: Introductionmentioning

confidence: 99%

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MIMO DFRC Signal Design in Signal-Dependent Clutter

et al. 2023

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This paper deals with the Dual-Function Radar and Communication (DFRC) signal design for a Multiple-Input–Multiple-Output (MIMO) system, considering the presence of signal-dependent clutter. A modulation methodology called Spectral Position Index and Amplitude (SPIA) modulation is proposed, which involves selecting passband and stopband positions and applying amplitude modulation. Signal to Interference plus Noise Ratio (SINR) is maximized to enhance radar detectability. Meanwhile, variable modulus and communication modulation constraints are enforced to ensure compatibility with the current hardware techniques and communication demand, respectively. In addition, the mainlobe width and sidelobe level constraints used to concentrate energy in a specific area of space are enforced. To tackle the resulting nonconvex and NP-hard optimization problem, an Iterative Block Enhancement (IBE) framework that alternately updates each signal in each emitting antenna is exploited to monotonically increase SINR. Each block involves the Dinkelbach’s Iterative Procedure (DIP), Sequential Convex Approximation (SCA) and Alternating Direction Method of Multipliers (ADMM) to obtain a single signal. The computational complexity and convergence of the algorithm are analyzed. Finally, the numerical results highlight the effectiveness of the proposed dual-function scheme in sidelobe signal-dependent clutter.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MIMO DFRC Signal Design in Signal-Dependent Clutter

et al. 2023

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Design of Constraint FH-LFM DFRC Waveform

Xu,

Wen,

et al. 2024

Communications in Computer and Information Science

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Intelligent integrated sensing and communication: a survey

Zhang,

Lu,

Xing

et al. 2024

Sci. China Inf. Sci.

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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.

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Hybrid Index Modulation for Dual-Functional Radar Communications Systems

Cited by 27 publications

References 50 publications

MIMO DFRC Signal Design in Signal-Dependent Clutter

MIMO DFRC Signal Design in Signal-Dependent Clutter

Design of Constraint FH-LFM DFRC Waveform

Intelligent integrated sensing and communication: a survey

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