基于启发式算法的短波分集通信网频率规划
Frequency Planning for HF Diversity Communication Networks Based on Heuristic Algorithm
杨晓珑 1徐坤 1易剑波 2王汉生1
作者信息
- 1. 国防科技大学信息通信学院,湖北 武汉 430010
- 2. 海南宝通实业公司,海南 海口 570311
- 折叠
摘要
为保障用户之间的安全通信,短波分集通信网采用多个频率以提高通信接收的可靠性.在多用户并发接入时,采用改进遗传算法对用户进行频率规划,可在满足给定用户需求的情况下节约频率资源,但该通信方式仍存在规划过程耗时较长的问题.为此,研究采用模拟退火和粒子群2种典型的启发式算法来规划短波分集通信网频率的资源.仿真结果表明,模拟退火算法和粒子群算法相比于改进遗传算法的优化效果几乎不变,但其规划用时明显缩短,为短波分集通信网实践运用提供了依据.
Abstract
In order to ensure secure communication between users,HF diversity communication networks adopt multiple frequencies to improve the reliability of communication receiving.In the case of multi-user concurrent access,improved genetic algorithms can be used to plan the frequency of users,thus saving frequency resources under the condition of meeting the needs of given users,but this communication method still suffers from the problem that the planning process takes a long time.To address the problem,two typical heuristic algorithms such as simulated annealing and particle swarm optimization are used to plan the frequency resources of HF diversity communication network.Simulation results indicate that compared with the improved genetic algorithm,the optimization effect of simulated annealing algorithm and particle swarm optimization algorithm is almost unchanged,but the planning time is significantly shortened,which provides a basis for the practical application of HF diversity communication network.
关键词
短波分集通信网/频率规划/模拟退火算法/粒子群算法Key words
HF diversity communication network/frequency planning/simulated annealing algorithm/particle swarm optimization algorithm引用本文复制引用
出版年
2025
NETL
NSTL
万方数据