基于WLAN(Wireless Local Area Network)网络的指纹定位技术是当前室内定位领域的研究热点。随着WLAN网络的普及,特别是在商场、高校、写字楼等环境中,AP(Access Point)的布置已经非常密集,终端可视AP数量很多,为WLAN定位提供了良好的...基于WLAN(Wireless Local Area Network)网络的指纹定位技术是当前室内定位领域的研究热点。随着WLAN网络的普及,特别是在商场、高校、写字楼等环境中,AP(Access Point)的布置已经非常密集,终端可视AP数量很多,为WLAN定位提供了良好的基础。但是,由于遮挡以及AP节点故障造成的信号不稳定等因素,导致使用全部可视AP节点进行定位不一定能得到最好的定位结果。因此,在定位计算中对AP节点进行适当的选择是必要的。针对此问题,提出了四种AP节点的选择策略,并通过实际搭建的WLAN定位网络对所提的AP选择策略进行了实验验证。结果表明:对AP进行选择是必要的;恰当的AP选择策略能有效提高定位精度。展开更多
为消除无线传感器网络在锚节点损坏情况下对多目标定位效果产生的影响,提出了一种能够抵抗异常接收信号强度指示(Resist abnormal Received Signal Strength Indication,RA-RSSI)的指纹库设计方法。该方法通过插值优化算法提高建库效率...为消除无线传感器网络在锚节点损坏情况下对多目标定位效果产生的影响,提出了一种能够抵抗异常接收信号强度指示(Resist abnormal Received Signal Strength Indication,RA-RSSI)的指纹库设计方法。该方法通过插值优化算法提高建库效率,通过多个锚节点在线阶段的相互协作,根据投票机制确定锚节点的可信因子,从而筛查出受损锚节点,进而实时更新相应指纹库中的数据。最后,对抗异指纹库的定位效果进行仿真,并将其与传统指纹库相比较,证明了该设计能够有效增强定位系统的鲁棒性。展开更多
The existence of various geo-location applications and their accuracy requirements enhance the necessities for suitable processing techniques to solve the indoor geo-location problems. Since, Impulse Radio Ultra-Wideb...The existence of various geo-location applications and their accuracy requirements enhance the necessities for suitable processing techniques to solve the indoor geo-location problems. Since, Impulse Radio Ultra-Wideband (IR-UWB) signals have very short duration pulses;they can provide very accurate ranging and geo-location capability in short range indoor radio propagation environments. Our research puts emphasis on indoor geo-location using UWB signaling considering both of non line-of-sight (NLOS) and LOS radio propagation environments. In this paper, we introduce and investigate a noble approach which makes a hybrid combination of Channel Impulse Response (CIR)-based finger-printing (FP) method with polygonal arrangement of reference nodes (or tags) and an iterative-TOA based real-time geo-location method using UWB signaling for wireless ad hoc networks. The proposed hybrid approach assures significant improvement in positioning accuracy compared to TOA only, FP only and conventional iterative-TOA geo-location methods by mitigating NLOS errors effectively in the indoor environment. Besides, this hybrid approach minimizes the calculation complexity of the FP method while maintaining improved geo-location accuracy in the dense multipath propagation environment.展开更多
文摘基于WLAN(Wireless Local Area Network)网络的指纹定位技术是当前室内定位领域的研究热点。随着WLAN网络的普及,特别是在商场、高校、写字楼等环境中,AP(Access Point)的布置已经非常密集,终端可视AP数量很多,为WLAN定位提供了良好的基础。但是,由于遮挡以及AP节点故障造成的信号不稳定等因素,导致使用全部可视AP节点进行定位不一定能得到最好的定位结果。因此,在定位计算中对AP节点进行适当的选择是必要的。针对此问题,提出了四种AP节点的选择策略,并通过实际搭建的WLAN定位网络对所提的AP选择策略进行了实验验证。结果表明:对AP进行选择是必要的;恰当的AP选择策略能有效提高定位精度。
文摘为消除无线传感器网络在锚节点损坏情况下对多目标定位效果产生的影响,提出了一种能够抵抗异常接收信号强度指示(Resist abnormal Received Signal Strength Indication,RA-RSSI)的指纹库设计方法。该方法通过插值优化算法提高建库效率,通过多个锚节点在线阶段的相互协作,根据投票机制确定锚节点的可信因子,从而筛查出受损锚节点,进而实时更新相应指纹库中的数据。最后,对抗异指纹库的定位效果进行仿真,并将其与传统指纹库相比较,证明了该设计能够有效增强定位系统的鲁棒性。
文摘The existence of various geo-location applications and their accuracy requirements enhance the necessities for suitable processing techniques to solve the indoor geo-location problems. Since, Impulse Radio Ultra-Wideband (IR-UWB) signals have very short duration pulses;they can provide very accurate ranging and geo-location capability in short range indoor radio propagation environments. Our research puts emphasis on indoor geo-location using UWB signaling considering both of non line-of-sight (NLOS) and LOS radio propagation environments. In this paper, we introduce and investigate a noble approach which makes a hybrid combination of Channel Impulse Response (CIR)-based finger-printing (FP) method with polygonal arrangement of reference nodes (or tags) and an iterative-TOA based real-time geo-location method using UWB signaling for wireless ad hoc networks. The proposed hybrid approach assures significant improvement in positioning accuracy compared to TOA only, FP only and conventional iterative-TOA geo-location methods by mitigating NLOS errors effectively in the indoor environment. Besides, this hybrid approach minimizes the calculation complexity of the FP method while maintaining improved geo-location accuracy in the dense multipath propagation environment.
