Multidimensional Antenna Array based Framework for Drone Localization in Multipath Environments

Drones or unmanned aerial vehicles (UAV) are remotely piloted aircrafts which are very popular for commercial and public-safety applications. However, they can impose several security threats such as espionage and terrorism-related activities. In this way, we propose a multidimensional antenna array based framework in order to accurately localize UAVs in multipath environments. Specifically, we extend a previous framework for signal emitter localization in two aspects: (i) by adopting a tensor representation to better exploit the structure inherently multidimensional of the data, and (ii) by including a multiple denoising preprocessing scheme to increase the signal-to-noise ratio of the received signal. Numerical results show that the proposed approach presents both lower position coordinate errors and spatial frequency errors when compared to the matrix-based and tensor-based techniques with spatial smoothing as denoising preprocessing step.

[1]  João Paulo A. Maranhão,et al.  Antenna Array based Framework for Detection and Localization of Correlated Signals , 2018, 2018 Workshop on Communication Networks and Power Systems (WCNPS).

[2]  André Lima Férrer de Almeida,et al.  Array interpolation based on multivariate adaptive regression splines , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

[3]  Mubashir Husain Rehmani,et al.  Amateur Drone Monitoring: State-of-the-Art Architectures, Key Enabling Technologies, and Future Research Directions , 2017, IEEE Wireless Communications.

[4]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[5]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[6]  Josef A. Nossek,et al.  A signal adaptive array interpolation approach with reduced transformation bias for DOA estimation of highly correlated signals , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[7]  Rafael Timóteo de Sousa Júnior,et al.  Antenna array based framework with multipath mitigation for signal emitter detection and localization , 2017, 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS).

[8]  Joos Vandewalle,et al.  A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..

[9]  Rafael Timóteo de Sousa Júnior,et al.  Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing , 2019, Digit. Signal Process..

[10]  Tamara G. Kolda,et al.  Tensor Decompositions and Applications , 2009, SIAM Rev..

[11]  Gyanendra Prasad Joshi,et al.  Unmanned aerial vehicle localization using distributed sensors , 2017, Int. J. Distributed Sens. Networks.

[12]  Florian Roemer,et al.  Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems , 2008, IEEE Transactions on Signal Processing.

[13]  Gao Yong,et al.  Erasing false-location of two stations direction-finding cross location in multi-path and multiple sources environments , 2001, 2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559).

[14]  Junfeng Wu,et al.  A Surveillance System for Drone Localization and Tracking Using Acoustic Arrays , 2018, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[15]  Kyung-Joon Park,et al.  Analysis of localization for drone-fleet , 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

[16]  João Paulo C. L. da Costa,et al.  A Novel Direction of Arrival Estimation Algorithm via Received Signal Strength of Directional Antennas , 2018, 2018 Workshop on Communication Networks and Power Systems (WCNPS).

[17]  Jiming Chen,et al.  Anti-Drone System with Multiple Surveillance Technologies: Architecture, Implementation, and Challenges , 2018, IEEE Communications Magazine.

[18]  João Paulo Carvalho Lustosa da Costa,et al.  Enhanced Direction of Arrival Estimation via Received Signal Strength of Directional Antennas , 2018, 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[19]  Marco A. M. Marinho,et al.  Continuous Authentication via Localization Using Triangulation of Directions of Arrival of Line of Sight Components , 2015 .