Vol. 45

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2013-11-21

Hardware Implementation of a Proposed QR-Tls DOA Estimation Method and MUSIC, ESPRIT Algorithms on Ni-Pxi Platform

By Nizar Tayem, Syed Ahmed Raza, Muhammad Omer, Mohamed El-Lakki, and Jamal F. Nayfeh
Progress In Electromagnetics Research C, Vol. 45, 203-221, 2013
doi:10.2528/PIERC13091001

Abstract

In this paper, we present an experimental verification of a novel QR-TLS algorithm. Two other algorithms for direction of arrival (DOA) estimation of multiple incident source signals called multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance techniques (ESPRIT) are implemented on a National Instruments (NI) PXI platform. The proposed method is based on subspace decomposition of a received data into a signal and a noise space using QR decomposition. The angle of the signal arrival information is extracted from the signal subspace by using the method of total least squares (TLS). The algorithms are implemented in LabView NI hardware. The experimental procedures are discussed in details which includes interfacing of the uniform linear array (ULA) of antennas with the NI-PXI platform, calibrating phase differences between the RF receivers, and selecting transmitter and receiver parameters, for determining the DOAs of the multiple incident source signals. The experimental results are shown for a single and two sources lying at arbitrary angles from the array reference to verify the successful real time implementation of the proposed and other DOA estimation algorithms.

Citation


Nizar Tayem, Syed Ahmed Raza, Muhammad Omer, Mohamed El-Lakki, and Jamal F. Nayfeh, "Hardware Implementation of a Proposed QR-Tls DOA Estimation Method and MUSIC, ESPRIT Algorithms on Ni-Pxi Platform," Progress In Electromagnetics Research C, Vol. 45, 203-221, 2013.
doi:10.2528/PIERC13091001
http://www.jpier.org/PIERC/pier.php?paper=13091001

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