电波科学学报2024，Vol.39Issue(6)：1043-1050,8.DOI:10.12265/j.cjors.2023294
面向频谱环境地图重构的传感器布局优化
Sensor layout optimization for radio environment map reconstruction
摘要
Abstract
The number and acquisition time of distributed sensors in complex electromagnetic environments are very limited,which seriously affects the accuracy of reconstructing electromagnetic radio environment maps(REM).This article proposes a sensor layout and optimization method for REM reconstruction.This method is based on compressed sensing theory and utilizes the principle that the smaller the correlation of the sensing matrix,the higher the reconstruction accuracy.The gradient descent method is used to optimize and obtain the optimal expression of the measurement matrix.In addition,a greedy matching based position optimization algorithm is designed for sensor position selection to address the issue of the optimal measurement matrix not being directly mapped to the sensor position.Finally,simulation verification and performance evaluation are conducted on the REM data of campus scenes.The results show that under sparse sampling conditions of 5%-60%,the reconstruction performance of the sensor layout scheme proposed in this paper is superior to other layout schemes,with the reconstruction accuracy improvement of about 20%-50%.It can be used to assist in efficient collection of spectrum data and accurate construction of REMs in real environments.关键词
频谱环境地图(REM)/空间采样/传感器布局/压缩感知/空间重构Key words
radio environment map(REM)/spatial sampling/sensor layout/compressed sensing/spatial reconstruction分类
信息技术与安全科学引用本文复制引用
高钱豪,赵翼,朱秋明,郭兰图,林志鹏,林云,王洁..面向频谱环境地图重构的传感器布局优化[J].电波科学学报,2024,39(6):1043-1050,8.基金项目
国家重大科研仪器研制项目(61827801) （61827801）
国家自然科学基金面上项目(62271250) （62271250）
江苏省重点研发计划(产业前瞻与关键核心技术)(BE2022067,BE2022067-3,BE2022067-1) （产业前瞻与关键核心技术）
江苏省自然科学基金(BK20211182) （BK20211182）
