Communication Relay for Multiground Units With Unmanned Aerial Vehicle Using Only Signal Strength and Angle of Arrival

This brief investigates the problem of communication relay establishment for multiground units using an unmanned aerial vehicle. The objective is to drive the drone to the optimal position for relay establishment without knowing ground unit positions. As an alternative to positions information, two measurements are employed for each ground unit, the signal strength and its angle of arrival. A navigation law is proposed and its stability is investigated for stationary and moving ground units. The simulation and experimental results are given to show the effectiveness of the proposed approach.

[1]  Ouassima Akhrif,et al.  Backstepping control design applied to a quadrotor aircraft , 2014 .

[2]  B N Hood,et al.  Estimating DoA From Radio-Frequency RSSI Measurements Using an Actuated Reflector , 2011, IEEE Sensors Journal.

[3]  A. Lee Swindlehurst,et al.  Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Brian M. Sadler,et al.  RF source-seeking by a micro aerial vehicle using rotation-based angle of arrival estimates , 2013, 2013 American Control Conference.

[5]  Christopher G. Mayhew,et al.  Robust Source-Seeking Hybrid Controllers for Autonomous Vehicles , 2007, 2007 American Control Conference.

[6]  Moe Z. Win,et al.  Throughput per Pass for Data Aggregation from a Wireless Sensor Network via a UAV , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Samuel R. Buss,et al.  Spherical averages and applications to spherical splines and interpolation , 2001, TOGS.

[8]  Miroslav Krstic,et al.  Multiagent Deployment Over a Source , 2012, IEEE Transactions on Control Systems Technology.

[9]  Rafael Fierro,et al.  A Cooperative Heterogeneous Mobile Wireless Mechatronic System , 2014, IEEE/ASME Transactions on Mechatronics.

[10]  Miroslav Krstic,et al.  Experimental application of extremum seeking on an axial-flow compressor , 2000, IEEE Trans. Control. Syst. Technol..

[11]  Omer Cetin,et al.  Continuous Airborne Communication Relay Approach Using Unmanned Aerial Vehicles , 2012, J. Intell. Robotic Syst..

[12]  Tankut Acarman,et al.  Stability and performance improvement of extremum seeking control with sliding mode , 2003 .

[13]  Chen Hong,et al.  Swarm intelligence-based extremum seeking control , 2011, Expert Syst. Appl..

[14]  Klas Andersson,et al.  Hybrid Control of Long-Endurance Aerial Robotic Vehicles for Wireless Sensor Networks , 2011 .

[15]  Patrick Doherty,et al.  Optimal placement of UV-based communications relay nodes , 2010, J. Glob. Optim..

[16]  J. Hedrick,et al.  Dynamic Surface Control of Uncertain Nonlinear Systems: An LMI Approach , 2011 .

[17]  Mark G. Richard.  Cooperative Control of Distributed Autonomous Systems with Applications to Wireless Sensor Networks , 2009 .