Localizing mobile RF targets using multiple unmanned aerial vehicles with hetergeneous sensing capabilities

被引：0
|
作者：
Pack, D [1 ]
York, G [1 ]
Toussaint, G [1 ]
机构：
[1] USAF Acad, Fac Elect Engn, Colorado Springs, CO 80840 USA
来源：
2005 IEEE NETWORKING, SENSING AND CONTROL PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we consider the problem of locating a mobile Radio Frequency (RF) target using multiple Unmanned Aerial Vehicles (UAVs) equipped with sensors with varying accuracies. We investigate the localization task performance as we vary (1) the configuration of multiple UAVs (sensor locations), (2) the type of sensors onboard the UAVs, and (3) the sensor sequence. We use the well known optimal recursive estimation techniques (Kalman filtering) to combine captured sensor values from multiple UAVs and to investigate sensor scheduling issues to minimize the target location error. We present our findings in the form of simulation results.
引用
收藏
页码：632 / 637
页数：6
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