Fractal Prediction Algorithm of L-PLC Channel Noise Based on Phase Space Reconstruction
In this paper, the fractal characteristics including self-similarity and long-dependence of the L-PLC (Lowvoltage power line communication) noise signal are investigated by the R/S analysis firstly. And then, according the weak chaotic and statistical self-similarity of the noise signal, a new fractal prediction algorithm is proposed, in this algorithm, the fractal interpolation based on phase space reconstruction sample selection method and fractional collage theory is applied to determine an iterated function system, whose attractor is similar with the primary noise signal Finally, the fractal prediction model is set up by this iterated function system. The results show that, the average prediction error between the actual value and prediction value is smaller than 6.0％, comparing with the traditional fractal algorithm, the average reducing prediction error was close to 20％. The experimental results suggeste that the proposed algorithm improves the prediction accuracy and more suitable for the L PLC noise signal prediction.
low-voltage power line communication fractal R/S analysis fractal prediction
Zhenchao Wang Yuqian Zhao Chen Zhao
Hebei University, Bao Ding, HeBei, 071000, China
国际会议
长沙
英文
1513-1516
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）