摘要
针对当前方法,对数字化变电站通信链路进行信号检测时,无法准确检测到通信链路异常信号,导致信号误检率较高的问题,提出一种基于粒子群算法的数字化变电站通信链路信号检测优化方法。由变电站通信链路信号构建PN序列,AP端利用基于PN序列的信道参数估计算法计算每个通信链路的频偏信道参数,根据通信链路频偏信道参数构建信号链路信道模型。利用粒子群优化算法对通信链路信道模型进行信号检测,通过对粒子位置、速度的不断更新来提高通信链路信号的检测率,实现通信链路信号检测优化的目的。实验结果表明,所提方法有效的提高了通信链路信号检测的稳定性以及信号检测的速度,达到数字化变电站通信链路信号检测优化。
Current method cannot accurately detect abnormal signals in the communication link,which results in high false detection rate.Therefore,this paper puts forward a method for detection and optimization of signals in communication link of digital substation based on particle swarm optimization.PN sequence was constructed by signals in substation communication link.The AP used the channel parameter estimation algorithm based on PN sequence to calculate the frequency offset parameter of each communication link.Based on the frequency offset parameter of communication link,the signal link channel model was built.Then,the particle swarm optimization algorithm was used to detect the signal in communication link channel model.By constantly updating the position and speed of particles, the detection rate of the signal in communication link was improved.Thus,the signal detection and optimization of communication link was achieved.Simulation results show that the proposed method can effectively improve the sta- bility of signal detection and the speed of signal detection in the communication link.
作者
高洁
吴建国
GAO Jie;WU Jian-guo(School of Electrical and Energy Engineering,Nantong Polytechnic College,Nantong Jiangsu 226002,China)
出处
《计算机仿真》
北大核心
2018年第12期321-324,共4页
Computer Simulation
基金
江苏省高校自然科学研究面上项目<纯电推内河船充电方式的研究>
课题号:16KJD580001
南通市科研项目<基于无线充电的内河船纯电推技术研究>
课题号:GY12015024
关键词
数字化
变电站通信
信号检测
优化算法
Digitalization
Substation communication
Signal detection
Particle swarm optimization algorithm
