基于 ADMM 降低综合传感与通信系统 PAPR 的低复杂度波形设计

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-04-29 DOI:10.1109/JSEN.2024.3392353

Jinlong Wu;Lixin Li;Wensheng Lin;Junli Liang;Zhu Han

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引用次数: 0

摘要

随着综合传感与通信（ISAC）系统的发展，波形设计正受到广泛关注。与此同时，子载波叠加会导致正交频分复用（OFDM）中的高峰均功率比（PAPR）问题。因此，本文研究了基于 OFDM 的 ISAC 系统的低 PAPR 波形设计。为了灵活平衡 PAPR 与通信性能之间的关系，本文提出了一个加权优化问题，该问题的约束条件是零集成侧叶电平（ISL），并提出了一种基于交替方向乘法器（ADMMs）的算法来解决这一问题。此外，还考虑了非线性功率放大器，以证明 PAPR 对 ISAC 系统的影响。仿真结果表明，所提出的算法能有效降低 PAPR，并在 PAPR 和通信性能之间实现性能权衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Low-Complexity Waveform Design for PAPR Reduction in Integrated Sensing and Communication Systems Based on ADMM

With the development of integrated sensing and communication (ISAC) systems, waveform design is currently attracting extensive attention. At the same time, subcarrier superposition can lead to the high peak-to-average power ratio (PAPR) problem in orthogonal frequency-division multiplexing (OFDM). Therefore, in this article, we investigate the low PAPR waveform design for OFDM-based ISAC systems. A weighted optimization problem with the constraint of zero integrated sidelobe level (ISL) is formulated with the aim of flexibly balancing between PAPR and communication performance and an alternating direction method of multipliers (ADMMs)-based algorithm is proposed to address this issue. Moreover, the nonlinear power amplifier is also considered to demonstrate the impact of PAPR on ISAC systems. Simulation results demonstrate that the proposed algorithm can effectively reduce the PAPR and achieve a performance trade-off between PAPR and communication performance.

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice