A PERFORMANCE ANALYSIS ON DRONE LOCO POSITIONING SYSTEM FOR TWO-WAY RANGING PROTOCOL

Authors

  • Timothy Scott Chu Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, 1004 Philippines
  • Alvin Chua Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, 1004 Philippines
  • Edwin Sybingco Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, 1004 Philippines
  • Maria Antonette Roque Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, 1004 Philippines

DOI:

https://doi.org/10.11113/aej.v12.17487

Keywords:

Loco Positioning System, Radio Localization, Swarm Drone, Two-Way Ranging, Unmanned Aerial Vehicles

Abstract

Localization is vital in UAV operation as it monitors the position of each drone in a workspace. Existing localization techniques such as GPS are limited for outdoor implementations and cannot be implemented inside closed spaces or GPS denied areas. To address this concern localization techniques, such as vision systems and radio systems, are developed. The drawback of vision systems is the cost of implementation as the system usually requires multiple cameras strategically positioned around the experimental space to monitor the aerial drone’s position and orientation. Radio localization, on the other hand, is a cheaper alternative for indoor localization as it requires only a set of anchor and tags that communicates through a certain radio frequency; however, experimental setups and materials on this localization technique is limited at this time. This paper offers an analysis of the performance of the loco positioning system, a form of radio localization, through varying configurations for swarm drone applications. The Loco Positioning System possesses two protocols; and this paper focuses on the Two-Way Ranging protocol. The study presents different setup configurations governed by 2 parameters; number of anchors used, and the distance set between anchors, and their corresponding performances. Data showed that an increase in anchor count from 3 to 6 decreases error from 25.96% to 8.45%, and that decreasing the distance between anchors 0.6 m to 1 m would give a minimal increase in error. Users may use these performance reports to determine their ideal setup based on the mentioned parameters.

References

J. Zhang, R. Liu, K. Yin, Z. Wang, M. Gui and S. Chen, 2019 "Intelligent Collaborative Localization Among Air-Ground Robots for Industrial Environment Perception," in IEEE Transactions on Industrial Electronics, 66(12): 9673-9681, doi: 10.1109/TIE.2018.2880727.

Y. Huang, H. Han, B. Zhang, X. Su and Z. Gong, 2021 "Supply Distribution Center Planning in UAV-based Logistics Networks for Post-Disaster Supply Delivery," 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM) 1-6, doi: 10.1109/HEALTHCOM49281.2021.9399012.

R. Zhicai, B. Jiang and X. Hong, 2021,"A Cooperative Search Algorithm Based on Improved Particle Swarm Optimization Decision for UAV Swarm," 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 140-145, doi: 10.1109/ICCCS52626.2021.9449283.

X. Zhang and M. Ali, 2020 "A Bean Optimization-Based Cooperation Method for Target Searching by Swarm UAVs in Unknown Environments," in IEEE Access, 8: 43850-43862. doi: 10.1109/ACCESS.2020.2977499.

C. Dim, F. Nabor, G. Santos, M. Schoeler, & A. Chua, 2019, “Novel Experiment Design for Unmanned Aerial Vehicle Controller Performance Testing.” In IOP Conference Series: Materials Science and Engineering 533(1): 012026), IOP Publishing.

Ahmed, H.R., & Glasgow, J.I. 2012. Swarm Intelligence: Concepts, Models and Applications Technical Report 2012-585.

Karaca, Y., Cicek, M., Tatli, O., Sahin, A., Pasli, S., Beser, M. F., & Turedi, S. (2018). The potential use of unmanned aircraft systems (drones) in mountain search and rescue operations. The American Journal Of Emergency Medicine, 36(4): 583-588.

F. Meng and D. Yang, 2020 "Research of UAV Location Control System Based on SINS, GPS and Optical Flow," 2020 IEEE International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 495-498, doi: 10.1109/ICIBA50161.2020.9276977.

Badshah, A., Islam, N., Shahzad, D., Jan, B., Farman, H., Khan, M., ... & Ahmad, A. 2018. Vehicle navigation in GPS denied environment for smart cities using vision sensors. Computers, Environment and Urban Systems. 77: 101281

J. A. Preiss , W. Honig, G. S. Sukhatme, & N. Ayanian, (2017, May). Crazyswarm: A large nano-quadcopter swarm. In Robotics and Automation (ICRA), 2017 IEEE International Conference on. 3299-3304. IEEE.

M. W. Mueller, 2018. “A Dynamics-Agnostic State Estimator for Unmanned Aerial Vehicles Using Ultra-Wideband Radios,” ASME 2018 Dynamic Systems and Control Conference, American Society of Mechanical Engineers Digital Collection.

J. L. Piquero, V. K. Delica, A. L. Orquia, E. M. Reynaldo, J. Ilao, M. A. Roque, ... & H. Jayakody, 2019, “A New Sliding Mode Controller Implementation On An Autonomous Quadcopter System,” International Journal of Automation and Smart Technology, 9(2): 53-63.

S. Fahandezh-Saad, & M. W. Mueller, 2018 “An algorithm for real-time restructuring of a ranging-based localization network,” International Conference on Unmanned Aircraft Systems (ICUAS) 2018 236-242, IEEE.

"Crazyflie 2.0 | Bitcraze," bitcraze, n.d. [Online]. Available: https://www.bitcraze.io/crazyflie-2/. [Accessed: September 10, 2019].

“Loco Positioning System,” bitcraze, n.d. [Online]. Available: https://www.bitcraze.io/loco-pos-system/. [Accessed: June 27, 2019].

“Loco Positioning Protocol,” bitcraze, 2019. [Online]. Available: https://www.bitcraze.io/docs/lps-node-firmware/master/lpp/. [Accessed: June 28, 2019].

S. Dädeby and J. Hesselgren, 2017. “A system for indoor positioning using ultra-wideband technology,” Masters dissertation, Dept. of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden,

“TDoA principles,” bitcraze, n.d. [Online]. Available:,https://www.bitcraze.io/documentation/repository/lps-node-firmware/master/functional-areas/tdoa_principles/. [Accessed: February 1, 2022].

Bitcraze, 2019 ”Loco Positioning Node — Bitcraze,” [Online]. Available: https://www.bitcraze.io/loco-pos-node/. [Accessed: February 1, 2022].

Bitcraze, 2019 ”Loco Positioning Deck — Bitcraze,” [Online]. Available: https://www.bitcraze.io/loco-pos-deck/. [Accessed: February 1, 2022].

Downloads

Published

2022-08-31

Issue

Section

Articles

How to Cite

A PERFORMANCE ANALYSIS ON DRONE LOCO POSITIONING SYSTEM FOR TWO-WAY RANGING PROTOCOL. (2022). ASEAN Engineering Journal, 12(3), 95-102. https://doi.org/10.11113/aej.v12.17487