摘要
针对室内及卫星信号遮蔽区域的定位问题,提出了基于粒子滤波的混合定位方法。此方法通过采集和处理WiFi和其他泛在信号,比如WSN(wireless sensor network, 2.4GHz Zigbee)的混合信号强度信息实现位置估算,其中,WiFi数据作为滤波过程的主要观测量,而WSN数据作为增强信息辅助粒子重采样来提高关键区域的定位精度。在卫星信号遮蔽区域开展了实验,结果表明,与单一定位方法相比,混合定位方法取得了更高的定位精度。
In the frame work of particle filter,we proposed a hybrid method for indoor and outdoor localization in urban area.The method combined received signal strength information from WiFi and other signals of opportunity,such as wireless sensor network(WSN,2.4GHz Zigbee)for hybrid location estimation,in which,WiFi data could be obtained all the time during localization period,and WSN data served as the enhanced information at some important places to improve localization accuracy by assisting resampling particles.And then,we conducted experiments in a blocked area.The experimental result demonstrates that the proposed hybrid method can provide accurate location estimates,and perform better than individual location methods.
出处
《地理空间信息》
2018年第12期6-9,128,共5页
Geospatial Information
基金
国家重点研发计划资金资助项目(2017YFB0504103)
国家自然科学基金资助项目(41704020)
广东省重大专项(2015B010104003)
广州市产学研协同创新重大专项(201604046007)
中央高校基本科研业务费专项资金资助项目(17lgpy43)
