|
|
论文:2012,Vol:30,Issue(2):217-221 |
|
|
引用本文： |
|
|
马艳, 于文娟, 石星. 节点扰动对最小二乘的 UWSAN 目标定位的影响[J]. 西北工业大学 |
|
|
Ma Yan, Yu Wenjuan, Shi Xing. Sensitivity Analysis of Effects of Node Mobility on Target Location with Underwater Wireless Sensor Array Network (UWSAN) Based on Least Squares Approximation[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 节点扰动对最小二乘的 UWSAN 目标定位的影响 |
|
| 马艳, 于文娟, 石星 |
|
| 西北工业大学 航海学院,陕西 西安 710072 |
| 摘要: |
| 目标定位是无线传感器网络的重要任务之一, 在水下无线传感器阵列网络中, 可以依据每个阵列估计出的目标方位和阵列位置、 基于最小二乘法确定出目标的位置。针对在海洋环境中阵列节点不容易固定, 易受洋流和波浪的影响而漂移, 文章重点研究节点扰动对基于最小二乘(LS)的水下无线传感器阵列网络的目标定位算法性能的影响。推导了算法对节点横坐标和纵坐标漂移的敏感性表达式, 并将推导计算的结果与 LS 实际计算的结果相对比验证了推导的正确性, 进而分析了节点三种参数(距离、 方位和阵列密度)变化时节点漂移对定位性能的影响。 |
| 关键词:
最小二乘
目标定位
敏感度分析
节点扰动
|
|
| Sensitivity Analysis of Effects of Node Mobility on Target Location with Underwater Wireless Sensor Array Network (UWSAN) Based on Least Squares Approximation |
|
| Ma Yan, Yu Wenjuan, Shi Xing |
|
| College of Marine Engineering,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| Target location is one of the important tasks of wireless sensor networks. Sections 1 and 2 of the full pa-per explain our sensitivity analysis method mentioned in the title. Their core consists of: (1) we point out that, inUWSAN, targets can be located by using the least squares (LS) method and according to the coordinates of arraysand the estimated direction of arrival (DOA); but the node is mobile because of the ocean waves and surf; (2) weperform the sensitivity analysis of the effects of node mobility on target location with UWSAN based on the LS meth-od; (3) we derive the sensitivity equations of node mobility along X-coordinate and Y-coordinate. Section 3 verifiesthe correctness of the sensitivity equations by comparing the calculated results obtained with the sensitivity equationsderived by us with the simulation results based on the LS method; furthermore, we analyze the effects of node mob-ility on the location performance of the UWSAN when the three parameters of distance, DOA and number of arrayschange. |
| Key words:
analysis
arrays
calculations
direction of arrival
effects
errors
location
least squares approxima-tion
numerical methods
parameter estimation
sensitivity analysis
sensors
simulation
targets
un-derwater acoustics
wireless sensor networks;node mobility
target location
|
|
| 收稿日期: 2011-05-06
修回日期:
|
| DOI: |
| 基金项目: 国家自然科学基金委员会与中国民用航空局联合资助项目(61101189)和陕西省自然基金(2010JM8010)资助 |
| 通讯作者:
Email： |
| 作者简介: 马艳(1974-),女,西北工业大学副教授、博士,主要从事水下信号与信息处理、无线传感器网络目标定位研究。
|
|
| 相关功能 |
|
|
|
|
| 作者相关文章 |
|
| 马艳 在本刊中的所有文章 |
| 于文娟 在本刊中的所有文章 |
| 石星 在本刊中的所有文章 |
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] Akyildiz I F, et al. Underwater Acoustic Sensor Networks: Research Challenges. Ad Hoc Networks, 2005, 3(3): 257-279
[2] Headrick R, Freitag L. Growth of Underwater Communication Technology in U. S. Navy. IEEE Communication Magazine, 2009, 47(1): 80-83
[3] Ali H Sayed, Alireza Tarighat, Nima Khajehnouri. Network-Based Wireless Location. IEEE Signal Processing Magazine, 2005, 24-40
[4] 马 艳, 石 星. 基于能量 UWSAN 的最大似然目标定位. 西北工业大学学报, 2010, 28(6):824-828Ma Yan, Shi Xing. A New and Better Method for Obtaining Source Location in Underwater Wireless Sensor Array Network(UWSAN) Using Acoustic Energy Received by Each Array. Journal of Northwestern Polytechnical Univ, 2010, 28(6): 824-828 (in Chinese)
[5] Shi Xing, Ma Yan. Weighted Least Square Source Localization Theory in an Underwater Wireless Sensor Array Network: 6th In-ternational Conference on Wireless Communications, Networking and Mobile Computing, 2010
[6] Benjamin Frienlander. A Sensitivity Analysis of the MUSIC Algorithm. IEEE Trans on Acoustics Speech and Signal Processing, 1990, 8(10):1740-1751
[7] Benjamin Frienlander. Sensitivity Analysis of the Maximum Likelihood Direction-Finding Algorithm. IEEE Trans on Aerospaceand Electronic Systems, 1990, 26(6): 953-968 |
|
|
|
|
|
|
|
