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基于Parzen窗的水下无线传感器网络目标定位方法

庞菲菲 张群飞 史文涛 韩晶 孟庆微

庞菲菲, 张群飞, 史文涛, 韩晶, 孟庆微. 基于Parzen窗的水下无线传感器网络目标定位方法[J]. 电子与信息学报, 2017, 39(1): 45-50. doi: 10.11999/JEIT160246
引用本文: 庞菲菲, 张群飞, 史文涛, 韩晶, 孟庆微. 基于Parzen窗的水下无线传感器网络目标定位方法[J]. 电子与信息学报, 2017, 39(1): 45-50. doi: 10.11999/JEIT160246
PANG Feifei, ZHANG Qunfei, SHI Wentao, HAN Jing, MENG Qingwei. Target Localization Method Based on Parzen Window in Underwater Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2017, 39(1): 45-50. doi: 10.11999/JEIT160246
Citation: PANG Feifei, ZHANG Qunfei, SHI Wentao, HAN Jing, MENG Qingwei. Target Localization Method Based on Parzen Window in Underwater Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2017, 39(1): 45-50. doi: 10.11999/JEIT160246

基于Parzen窗的水下无线传感器网络目标定位方法

doi: 10.11999/JEIT160246
基金项目: 

国家自然科学基金(61531015, 61501374, 61401499),国家重点实验室基金(9140C230310150C23102)

Target Localization Method Based on Parzen Window in Underwater Wireless Sensor Network

Funds: 

The National Natural Science Foundation of China (61531015, 61501374, 61401499), The National Laboratory Foundation of China (9140C230310150C23102)

  • 摘要: 水声通道复杂多变,使得水下无线传感器网络中节点出现失效的情况,影响了多节点的目标定位性能。为解决这一问题,该文提出一种基于Parzen窗的方位交线定位方法。该方法利用Parzen窗分析所有交点的分布特征,估计目标可能出现在某个位置的概率,将概率最大值对应的点作为目标的估计位置。由于概率分布是非线性、多峰值的,采用带有惯性权重的粒子群算法去求解。仿真实验结果表明,所提方法能够在节点失效的情况下获得较高的目标定位性能,具有较好的鲁棒性。
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出版历程
  • 收稿日期:  2016-03-17
  • 修回日期:  2016-08-18
  • 刊出日期:  2017-01-19

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