Title :
Hardware Implementation of MUSIC and ESPRIT on NI-PXI Platform
Author :
Tayem, N. ; Omer, M. ; Abul Hussain, A.
Author_Institution :
Dept. of Electr. Eng., Prince Mohammad Bin Fahd Univ., A Al-Khobar, Saudi Arabia
Abstract :
In this paper, we present an experimental implementation of two well-known algorithms for direction of arrival (DOA) estimation of multiple incident source signals called. These methods are Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). The algorithms are programmed in Lab VIEW software and implemented on a National Instruments (NI) PXI platform. The details of the experimental procedures are described which include interfacing of the uniform linear array (ULA) of antennas with the NI-PXI platform, calibrating phase differences between the RF receivers, and parameters selection for both transmitter and receiver ends. The experimental results are shown for a single source lying at two different arbitrary angles to verify the successful real-time implementation of both algorithms.
Keywords :
array signal processing; direction-of-arrival estimation; linear antenna arrays; signal classification; DOA estimation; ESPRIT; Lab VIEW software; MUSIC; NI PXI platform; NI-PXI platform; National Instrument PXI platform; RF receivers; antenna ULA; arbitrary angles; direction-of-arrival estimation; estimation-of-signal parameter-via-rotational invariance techniques; hardware implementation; multiple-incident source signals; multiple-signal classification; real-time implementation; receiver end; transmitter end; uniform linear array; Arrays; Direction-of-arrival estimation; Estimation; Multiple signal classification; Nickel; Radio frequency; Receivers; DOA estimation; ESPRIT; LabVIEW; MUSIC; NI-PXI;
Conference_Titel :
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location :
Baltimore, MD
DOI :
10.1109/MILCOM.2014.59