摘要
针对面向目标定位的不确定传感器网络,本文利用模糊n维几何方法对运动目标的传感器网络模糊可测性问题进行深入分析和探讨,给出了仅含有角度信息的被动传感器网络目标定位的模糊解析偏差表示方法,详细分析了在R3空间模糊线性观测轨迹情况下运动目标的模糊估计偏差和目标几何定位之间的关系,通过在固定时间间隔测量被动目标的模糊方位角、俯仰角以实现R3空间中被动目标的模糊坐标和运动速度的四维定位。最后通过仿真实验验证了该方法的合理性和有效性。
Aiming at target-localization oriented uncertain sensor network,an approach of fuzzy n-dimensional geometry is introduced to investigate the fuzzy measurability of moving target in sensor networks.The fuzzy analytical bias expressions are derived for the bearing-only target localization in a passive sensor network.A detailed analysis of the interplay between target localization geometry and fuzzy estimation bias for the case of fuzzy linear observer trajectory in R^3 space is provided,which can realize four-dimensional localization,including the fuzzy estimate coordinate and speed of the target,through measuring fuzzy azimuth angle and fuzzy elevation angle at intervals of fixed time.Simulation results validate the rationality and effectiveness of the proposed method.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2010年第9期2126-2132,共7页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(No.60872126)
广东省自然科学基金(No.8151806001000002)资助项目
关键词
传感器网络
模糊可测性
模糊n维几何
定位
sensor network
fuzzy measurability
fuzzy n-dimensional geometry
localization
