摘要
本文研究了频谱地图构造问题,提出了一种基于监测数据的非参数构造方法,无需用到关于发射机和传播环境相关信息。本文将感兴趣区域内任意位置的接收功率建模成幂函数的线性组合,并提出使用交替最小化方法,利用监测数据对线性组合权重、幂函数中心点位置和指数进行联合优化。仿真部分通过与常用的反距离加权法和克里金插值法进行对比,验证了本文方法的有效性。
This paper studies the problem of spectrum map construction and presents a novel non-parametric algorithm based on monitoring data which does not depends on any parameters of transmitters and propagation environment. In this paper, a linear combination of power functions centered on a specific number of centroids is proposed to model the received signal power at arbitrary location over a geographical area of interest, and then the weights, centroid locations and exponent are jointly optimized using an iterative alternating minimization method. The superior performance of the proposed algorithm is verified via simulations by comparing with inverse distance weighted method and Kriging method.
作者
查淞
路镜涵
黄纪军
刘培国
ZHA Song;LU Jing-han;HUANG Ji-jun;LIU Pei-guo(College of Electronic Science,National University of Defense Technology,Changsha 410073,China)
出处
《微波学报》
CSCD
北大核心
2018年第A02期431-434,共4页
Journal of Microwaves
关键词
频谱管理
频谱地图
交替最小化方法
传播模型
最小二乘
Spectrum Management
Spectrum Map
Alternating Minimization Method
Propagation Model
Least Squares