A novel least-square method of source localization based on acoustic energy measurements for UWSN
A novel least-square method of source localization based on acoustic energy measurements for UWSN
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DOI：
10.1109/icspcc.2011.6061723
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发表时间：
2011-10
期刊：
影响因子：
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通讯作者：
Yan Yongsheng;W. Haiyan;Wang Xuan
中科院分区：
文献类型：
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作者：
Yan Yongsheng;W. Haiyan;Wang Xuan
无线传感器网络（WSN）广泛应用于许多方面。由于水下无线传感器网络（UWSN）性能和计算之间的权衡，基于能量测量的源定位的最小二乘定位方法受到关注。首先，回顾了几种最小二乘源定位方法并对其性能进行了比较。其次，在一步加权最小二乘定位（OS-LS）方法方面，推导了一种新的加权因子来简化运算。最后，在水下无线传感器网络（UWSN）中提出了一种基于能量测量的新型最小二乘方法。与现有的声源定位方法相比，该方法在保证定位精度的前提下，减少了数据融合中心（DFC）的计算量。大量仿真结果表明，加权最小二乘 (WLS) 定位方法优于最小二乘 (LS) 定位，并且新的直接最小二乘 (D-LS) 方法比最大似然 (ML) 和其他最小二乘方法计算量更少。此外，与没有校正技术的方法相比，带有校正技术的直接 WLS（DC-WLS）方法通过利用变量的相关性提高了定位精度。
Wireless sensor networks (WSN) are widely used in numerous aspects. Least-square localization method of source localization based on energy measurements is focused on due to the tradeoff between performance and computation in underwater wireless sensor networks (UWSN). Firstly, several least-square methods of source localization are reviewed and the performances are compared. Secondly, in terms of one step weighted least-square localization (OS-LS) method a new weighted factor is derived to simplify the operation. Finally, a novel least-square method based on energy measurements is proposed in underwater wireless sensor networks (UWSN). Compared to the existing acoustic source localization methods, this proposed method reduces the computation of Data Fusion Center (DFC) on the premise of ensuring the localization accuracy. Numerous simulation results show that weighted least-square (WLS) method of localization outperforms least-square (LS) localization and the new direct least-square (D-LS) method operates with less computation than the maximum likelihood (ML) and other least-square methods. Furthermore, the direct WLS with correction technique (DC-WLS) method improves the localization accuracy by exploiting the correlation of variables compared to the one without correction technique.