计算机科学 ›› 2017, Vol. 44 ›› Issue (8): 71-75.doi: 10.11896/j.issn.1002-137X.2017.08.013
闫俊伢,钱宇华,李华锋,马尚才
YAN Jun-ya, QIAN Yu-hua, LI Hua-feng and MA Shang-cai
摘要： 为了实现802.15.4a无线传感器网络中的目标定位,提出了一种新的基于多径距离和神经网络的目标定位检测算法。首先通过目标出现时对多径效应的影响估计出到达时间差,从而计算出通信传感器节点之间的多径距离；然后把多径距离作为神经网络的输入,并将目标位置用于神经网络的训练；最后通过选择多径距离估计值和测量值的差的最小成本组函数来定位目标位置。对单目标和多目标的定位检测仿真结果表明,即使当网络中传感器数量和目标增加时,所提出的定位算法的误差累积分布函数也不会增大,而且其定位误差比其他定位算法的误差小,从而增强了网络的鲁棒性,提高了网络中传感器承受故障的能力。
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