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基于乘子交替方向法的双功能雷达通信系统恒模波形设计

Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems.

作者信息

Saleem Ahmed, Basit Abdul, Munir Muhammad Fahad, Waseem Athar, Khan Wasim, Malik Aqdas Naveed, AlQahtani Salman A, Daraz Amil, Pathak Pranavkumar

机构信息

Department of Electrical & Computer Engineering, Faculty of Engineering & Technology, International Islamic University, Islamabad 44100, Pakistan.

Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia.

出版信息

Entropy (Basel). 2023 Jul 6;25(7):1027. doi: 10.3390/e25071027.

DOI:10.3390/e25071027
PMID:37509974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10377771/
Abstract

In this paper, we design constant modulus waveforms for dual-function radar-communication (DFRC) systems based on a multi-input multi-output (MIMO) configuration of sensors for a far-field scenario. At first, we formulate a non-convex optimization problem subject to waveform synthesis for minimizing the interference power while maintaining a constant modulus constraint. Next, we solve this non-convex problem, iteratively, using the alternating direction method of multipliers (ADMM) algorithm. Importantly, the designed waveforms approximate a desired beampattern in terms of a high-gain radar beam and a slightly high gain communication beam while maintaining a desired low sidelobe level. The designed waveforms ensure an improved detection probability and an improved bit error rate (BER) for radar and communications parts, respectively. Finally, we demonstrate the effectiveness of the proposed method through simulation results.

摘要

在本文中，我们针对远场场景下基于多输入多输出（MIMO）传感器配置的双功能雷达通信（DFRC）系统设计恒模波形。首先，我们针对波形合成制定一个非凸优化问题，以在保持恒模约束的同时最小化干扰功率。接下来，我们使用乘子交替方向法（ADMM）算法迭代求解这个非凸问题。重要的是，所设计的波形在高增益雷达波束和略高增益通信波束方面近似于期望的波束方向图，同时保持期望的低旁瓣电平。所设计的波形分别确保了雷达部分的检测概率提高和通信部分的误码率（BER）提高。最后，我们通过仿真结果证明了所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/8a18d2f8a214/entropy-25-01027-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/769caebf309a/entropy-25-01027-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/a7bf7b56749f/entropy-25-01027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/bd03ca5b89a1/entropy-25-01027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/2ce772b69bf2/entropy-25-01027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/b4b450751701/entropy-25-01027-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/d5d7cd0c9964/entropy-25-01027-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/8a18d2f8a214/entropy-25-01027-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/769caebf309a/entropy-25-01027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/6a4a4baf5cd3/entropy-25-01027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/1ac49037850d/entropy-25-01027-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/bd03ca5b89a1/entropy-25-01027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/2ce772b69bf2/entropy-25-01027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/b4b450751701/entropy-25-01027-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/497dcca3920e/entropy-25-01027-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/4e06a255e929/entropy-25-01027-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/d5d7cd0c9964/entropy-25-01027-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/692c/10377771/8a18d2f8a214/entropy-25-01027-g012.jpg

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