无线电信号协同检测和压缩传感研究

doi:10.16182/j.issn1004731x.joss.201712017

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3061-3066.doi: 10.16182/j.issn1004731x.joss.201712017

无线电信号协同检测和压缩传感研究

杨晶晶¹, 冯云², 陈志钢², 唐皓², 黄铭^1,3

1.云南大学信息学院,无线创新实验室, 昆明 650091;
2.云南省无线电监测中心,昆明 650228;
3.云南省高校谱传感与边疆无线电安全重点实验室,昆明 650091

收稿日期:2015-10-27 发布日期:2020-06-06
作者简介:杨晶晶(1983-),女,云南河口,博士,副教授,研究方向为谱传感与无线电监测。
基金资助:
国家自然科学基金(61461052,11564044),云南省自然科学基金(2013FA006,2015FA015),教育部博士点基金(20135301110003,20125301120009),中国博士后基金(2013M531989,2014T70890)

Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal

Yang Jingjing¹, Feng Yun², Chen Zhigang², Tang Hao², Huang Ming^1,3

1. Wireless Innovation Lab, School of Information Science and Engineering, Yunnan University, Kunming 650091, China;
2. Radio Monitoring Center of Yunnan Province, Kunming 650228, China;
3. Key Laboratory of Spectrum Sensing and Borderland Radio Safety of University in Yunnan Province, Kunming 650091, China

Received:2015-10-27 Published:2020-06-06

摘要/Abstract

摘要： 通过无线电监测发现异常无线电发射是无线电管理中的一项重要工作。提出了适用于区域性无线电监测的多节点协同检测和压缩传感模型,并基于软件无线电平台建立多节点监测系统验证了协同检测方法的有效性。结果表明,基于接收信号本征值构造测量统计量,在合适的判决门限下可以获得较高的检测率;在系统中引入压缩传感极大地减少了从传感节点到汇聚节点的数据传输量。这对发展网格化无线电监测网络,实现无线电频谱的精细化管理具有重要意义。

关键词: 频谱监测, 干扰检测, 协同检测, 压缩传感, 模拟

Abstract: Detecting the abnormal radio emission through radio monitoring is an important task of radio management. A regional cooperative compressed spectrum sensing model is proposed. A multi-node sensing system based on software defined radio platform is built, and the effectiveness of cooperative spectrum sensing is demonstrated. Results show that a high detection probability could be achieved at a suitable decision threshold based on the test statistics extracted from the eigenvalue of the received signal; what's more, compressed spectrum sensing employed to the detection system greatly reduced the size of the data transmitted from the sensing nodes to the fusing node. This work will be helpful for the development of large-scale grid radio monitoring network and the finer management of radio spectrum.

Key words: radio monitoring, interference detection, cooperative sensing, compressed spectrum sensing, simulation

中图分类号:

TN99

杨晶晶, 冯云, 陈志钢, 唐皓, 黄铭. 无线电信号协同检测和压缩传感研究[J]. 系统仿真学报, 2017, 29(12): 3061-3066.

Yang Jingjing, Feng Yun, Chen Zhigang, Tang Hao, Huang Ming. Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal[J]. Journal of System Simulation, 2017, 29(12): 3061-3066.

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无线电信号协同检测和压缩传感研究

Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal

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