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用于雷达与通信频谱共享的预编码器和解码器协同设计

Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing.

作者信息

Cui Yuanhao, Koivunen Visa, Jing Xiaojun

机构信息

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Department of Signal Processing and Acoustics, Aalto University, 00076 Espoo, Finland.

出版信息

Sensors (Basel). 2022 Mar 29;22(7):2619. doi: 10.3390/s22072619.

DOI:10.3390/s22072619
PMID:35408233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9003507/
Abstract

The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum. Moreover, changes in spectrum regulation will be introduced in which the spectrum is allocated in larger chunks and different radio systems need to share the spectrum. For example, 5G NR, LTE and Wi-Fi systems have to share the spectrum with S-band radars. Managing interference is a key task in coexistence scenarios. Cognitive radio and radar technologies facilitate using the spectrum in a flexible manner and sharing channel awareness between the two subsystems. In this paper, we propose a nullspace-based joint precoder-decoder design for coexisting multicarrier radar and multiuser multicarrier communication systems. The maximizing signal interference noise ratio (max-SINR) criterion and interference alignment (IA) constraints are employed in finding the precoder and decoder. By taking advantage of IA theory, a maximum degree of freedom upper bound for the K+1-radar-communication-user interference channel can be achieved. Our simulation studies demonstrate that interference can be practically fully canceled in both communication and radar systems. This leads to improved detection performance in radar and a higher rate in communication subsystems. A significant performance gain over a nullspace-based precoder-only design is also obtained.

摘要

由于可用无线电频谱短缺,雷达与通信系统共存对于推动新型无线系统和服务发展至关重要。此外,频谱监管将会发生变化,频谱将以更大的频段块进行分配,不同的无线电系统需要共享频谱。例如,5G NR、长期演进(LTE)和Wi-Fi系统必须与S波段雷达共享频谱。在共存场景中,管理干扰是一项关键任务。认知无线电和雷达技术有助于灵活使用频谱,并在两个子系统之间共享信道感知。在本文中,我们针对共存的多载波雷达和多用户多载波通信系统提出了一种基于零空间的联合预编码器 - 解码器设计。在寻找预编码器和解码器时采用了最大化信号干扰噪声比(max-SINR)准则和干扰对齐(IA)约束。通过利用IA理论,可以实现K + 1个雷达 - 通信 - 用户干扰信道的最大自由度上限。我们的仿真研究表明,在通信和雷达系统中干扰实际上都可以被完全消除。这使得雷达的检测性能得到改善,通信子系统的速率更高。与仅基于零空间的预编码器设计相比,也获得了显著的性能提升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/3519d69fc585/sensors-22-02619-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/260b71b5442b/sensors-22-02619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/fb436caee57e/sensors-22-02619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/f0c8dc551fd9/sensors-22-02619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/b6c08e07e206/sensors-22-02619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/3a1130ef60a3/sensors-22-02619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/3519d69fc585/sensors-22-02619-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/260b71b5442b/sensors-22-02619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/fb436caee57e/sensors-22-02619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/f0c8dc551fd9/sensors-22-02619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/b6c08e07e206/sensors-22-02619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/3a1130ef60a3/sensors-22-02619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8ae/9003507/3519d69fc585/sensors-22-02619-g006.jpg

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