针对目前红外无线通信距离短、功耗高、模块设计复杂等问题,提出了一种低功耗红外通信设计.采用XBAR模块、PWM调制技术及低功耗编程的软件设计,有效精简了电路,降低了功耗和成本,提高了可靠性,可更有效地构建红外无线通信网络.实验结果表明:系统在休眠时功耗为0.5 m W,正常工作时也仅为发射管工作功率的1/3左右;模块在自然光等环境中零误码率通信距离达到25 m,能满足便携式设备、医疗电子、水下通信、工业设备网络等诸多领域的应用需求.
A novel prediction network composed of some chaotic operators is proposed to predict the wind speed series.Training samples are constructed by the theory of phase space reconstruction.Genetic algorithm is adopted to optimize the control parameters of chaotic operators to change the dynamic characteristic of the network to approach to the predicted system.In this way,the dynamic prediction of wind speed series can be completed.The wind acceleration series can also be predicted by the same network.And the prediction results of both series can be fused by Kalman Filter to get the optimal estimation prediction result of the wind speed series,which is superior to the result obtained by each single method.Simulation results show that the prediction network has less computation cost than BP neural network,and it has better prediction performance than BP neural network and autoregressive integrated moving average model.Kalman Filter can improve the prediction performance further.
