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A TOA Estimation based on Adaptive Noise Cancellation For UWB Sensor Networks

机译:基于自适应噪声抵消的超宽带传感器网络TOA估计。

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This paper discussion the designing of UWB (ultra wideband) wireless sensor network (WSN) location measure, traditional GPS position estimation is not suitable due to cost, so a improved TOA (time of arrival) estimation which based on Adaptive Noise Cancellation method is proposed in order to design a low-calculation and high precision estimation algorithm. Adaptive Noise Cancellation (ANC) system was used to counteract input noise and Maximum Energy Selection estimate the maximum energy block. The simulation results show that the proposed method reached higher precision than traditional energy detection based non-coherent method, while largely decreases the computational complexity compared to the match-filtering based coherent method.
机译:本文讨论了超宽带无线传感器网络(WSN)位置测量的设计,由于成本原因,传统的GPS位置估计是不合适的,因此提出了一种基于自适应噪声消除方法的改进的到达时间(TOA)估计为了设计一种低计算精度的估计算法。自适应噪声消除(ANC)系统用于抵消输入噪声,“最大能量选择”估计最大能量块。仿真结果表明,与基于匹配滤波的相干方法相比,该方法比传统的基于能量检测的非相干方法具有更高的精度,同时大大降低了计算复杂度。

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