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考虑在传感器网络中重构混沌信号的问题.各传感器同时观测一个混沌信号.由于带宽受限,各传感器量化观测信号并将量化后的数据发送到融合中心,该中心使用无先导卡尔曼滤波算法重构观测的混沌信号.为了节省能量,只有观测信号信噪比高于某个阈值的传感器被选中并发送数据.定义代价函数关联重构性能和能量消耗,分析并仿真了代价函数和阈值之间的关系.结果表明在某些情况下部分传感器发送数据更合理.
Consider the problem of reconstructing the chaotic signal in the sensor network, and each sensor observes a chaotic signal at the same time.As the bandwidth is limited, each sensor quantizes the observed signal and sends the quantized data to the fusion center, which uses the no-lead Kalman filter algorithm To reconstruct the observed chaotic signal, in order to save energy, only the sensor whose signal-to-noise ratio (SNR) is above a certain threshold is selected and sent data, the cost function is defined to correlate reconstruction performance and energy consumption, the cost function and threshold The results show that in some cases some sensors send data more reasonable.