为保证舱室内人员的安全，提升船舶在航行过程中的管理能力，设计基于无线传感器网络的舱室内船员位置估计算法。在舱室内的固定位置放置参考节点，同时在船员身上放置定位节点，定位节点的定位请求发送给参考节点，当定位节点接收到参考节点自身坐标的信号强度时，通过接收信息强度指示定位算法测量参考节点和定位节点之间的间距，采用高斯滤波方式对测量结果进行去噪；通过三边定位算法求出定位节点具体位置，实现船舶室内船员位置估计。实验结果表明，该算法能够有效去除RSSI严重失真数据，船员实际位置估计准确，测得参考节点与定位节点之间的有效距离较长，且具有较高的穿透力和测距精度。
In order to ensure the personal safety of personnel inside the ship and enhance the management ability of the ship during navigation, a wireless sensor network-based algorithm for estimating the position of crew members inside the ship is designed. Place a reference node at a fixed position inside the ship's interior, and also place a positioning node on the crew inside the ship. The positioning request of the positioning node is sent to the reference node. When the positioning node receives the signal strength of the reference node's own coordinates, the receiving information strength indicates that the positioning algorithm measures the distance between the reference node and the positioning node. Gaussian filtering is used to denoise the measurement results. Calculate the specific position of the positioning node through the trilateral positioning algorithm, and achieve the estimation of the indoor crew position on the ship. The experimental results show that this algorithm can effectively remove severely distorted RSSI data, accurately estimate the actual position of the crew, measure the effective distance between the reference node and the positioning node, and have high penetration and ranging accuracy.
2023,45(19): 197-200 收稿日期：2023-04-17
DOI：10.3404/j.issn.1672-7649.2023.19.038
分类号：TP212.9
基金项目：内蒙古自治区高等学校科学研究项目（NJZY22199）；赤峰学院青年科研基金项目（cfxyqn202104）
作者简介：张迪(1986-),男,硕士,副教授,研究方向为传感器网络技术
参考文献：
[1] 周海飞, 芦翔, 胡春芬. 基于红外无线传感器网络的移动目标定位[J]. 电子器件, 2022, 45(6): 1476-1482.
ZHOU Hai-fei, LU Xiang, HU Chun-fen. Mobile target location based on infrared wireless sensor networks[J]. Electronic Devices, 2022, 45(6): 1476-1482.
[2] 高美凤, 尹持俊. 基于UAV的无线传感器网络加权质心定位算法[J]. 传感技术学报, 2021, 34(4): 539−545.
GAO Mei-feng, YIN Chi-jun. Weighted centroid location algorithm for wireless sensor networks based on UAVS [J]. Journal of Sensing Technology, 2019, 34(4): 539−545.
[3] 崔焕庆, 张娜, 罗汉江. 基于改进鸽群算法的无线传感器网络定位方法[J]. 传感技术学报, 2022, 35(3): 399-404.
CUI Huan-qing, ZHANG Na, LUO Han-jiang. Wireless sensor network location method based on improved pigeon swarm algorithm[J]. Journal of Sensing Technology, 2022, 35(3): 399-404.
[4] 张沛朋, 李冬锋. 基于MCMC的无线传感器网络目标定位算法[J]. 计算机工程与设计, 2022, 43(7): 1864-1871.
ZHANG Peipeng, LI Dongfeng. Target Location Algorithm for wireless sensor networks based on MCMC[J]. Computer Engineering and Design, 2022, 43(7): 1864-1871.
[5] 方省, 罗引, 曹家, 等. 基于高斯混合模型的无线传感器网络定位算法[J]. 吉林大学学报(理学版), 2022, 60(3): 713−720.
FANG Sheng, LUO Yin, CAO Jia , et al. Wireless sensor network location algorithm based on Gaussian mixture model [J]. Journal of Jilin University (Science Edition), 2022, 60(3): 713−720.
