张旭辉;张礼勇;梁宵;

• 1:哈尔滨理工大学测控技术与通信工程学院

摘要(Abstract)：

基于已有的电力线多径传输模型结构,以0.5~20MHz范围内的实际低压载波通信信道测量数据为样本,将改进粒子群优化算法应用于低压载波通信信道模型的多参数辨识,通过自适应改变惯性权重提高搜索效率,同时采用模拟退火算法并自适应调整退火温度,克服了基本粒子群算法容易发生早熟收敛的缺点。对路径数为4和18的信道模型进行参数辨识的结果表明:与遗传算法相比,改进的粒子群算法可加速收敛,缩短辨识时间,同时提高了拟合精度,克服了参数的分散性,所取路径数越多,拟合效果越好。

关键词(KeyWords)： 低压电力线载波通信;粒子群优化;参数辨识;多径传输;模拟退火;遗传算法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(60372104)~~

作者(Author): 张旭辉;张礼勇;梁宵;

Email:

DOI:

参考文献(References)：

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