FPGA-based real-time implementation for direction-of-arrival estimation

Direction-of-arrival (DOA) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) architecture for implementing a recently published DOA estimation algorithm. This algorithm estimates DOAs by making use of QR decomposition of the received data matrix of four- and eight-element uniform linear antenna arrays. The hardware implementation has been thoroughly analysed and experimentally validated by building a real-time prototype of the DOA estimation algorithm. The experimental results show good agreement between DOA estimates obtained by the prototype and true values.

[1]  Pei-Yun Tsai,et al.  Efficient Implementation of QR Decomposition for Gigabit MIMO-OFDM Systems , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Ernst Bonek,et al.  A real-time DOA-based smart antenna processor , 2002, IEEE Trans. Veh. Technol..

[3]  Guy A. E. Vandenbosch,et al.  Hardware acceleration of MUSIC based DoA estimator in MUBTS , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[4]  Nizar Tayem,et al.  Real Time Implemenation for DOA Estimation Methods on Ni-Pxi Platform , 2014 .

[5]  L. Timmoneri,et al.  Comparison between LS and TLS in adaptive processing for radar systems , 2003 .

[6]  Å. Björck.  Numerics of Gram-Schmidt orthogonalization , 1994 .

[7]  Brock J. LaMeres,et al.  FPGA implementation of a Bartlett direction of arrival algorithm for a 5.8ghz circular antenna array , 2010, 2010 IEEE Aerospace Conference.

[8]  Ilan Ziskind,et al.  Maximum likelihood localization of multiple sources by alternating projection , 1988, IEEE Trans. Acoust. Speech Signal Process..

[9]  Koichi Ichige,et al.  Implementation of FPGA based fast DOA estimator using unitary MUSIC algorithm [cellular wireless base station applications] , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  Ji-Hwan Yoon,et al.  Multidimensional Householder based high-speed QR decomposition architecture for MIMO receivers , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[11]  Leonid Gurvits,et al.  Optimized estimation of the Direction of Arrival with single tripole antenna , 2010, 2010 Loughborough Antennas & Propagation Conference.

[12]  K. Ichige,et al.  Real-time smart antenna system incorporating FPGA-based fast DOA estimator , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[13]  Adam Podhorski,et al.  Implementation and validation of an Angle of Arrival (AOA) determination system , 2015, 2015 Conference on Design of Circuits and Integrated Systems (DCIS).

[14]  Chih-Hung Lin,et al.  Iterative QR Decomposition Architecture Using the Modified Gram-Schmidt Algorithm for MIMO Systems , 2010, IEEE Trans. Circuits Syst. I Regul. Pap..

[15]  T. Basaruddin,et al.  Analysis and comparison of QR decomposition algorithm in some types of matrix , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

[16]  Yang Liu,et al.  Hardware Efficient Architectures for Eigenvalue Computation , 2006, Proceedings of the Design Automation & Test in Europe Conference.

[17]  K. V. Rangarao,et al.  gold-MUSIC: A Variation on MUSIC to Accurately Determine Peaks of the Spectrum , 2013, IEEE Transactions on Antennas and Propagation.

[18]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[19]  P. Boonyanant,et al.  FPGA implementation of a subspace tracker based on a recursive unitary ESPRIT algorithm , 2004, 2004 IEEE Region 10 Conference TENCON 2004..