IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 03 | Mar-2014, Available @ http://www.ijret.org 633
DIRECTION OF ARRIVAL ESTIMATION USING MUSIC ALGORITHM
Revati Joshi
1
, Ashwinikumar Dhande
2
1
Student, E&Tc Department, Pune Institute of Computer Technology, Maharashtra, India
2
Professor, E&Tc Department, Pune Institute of Computer Technology, Maharashtra, India
Abstract
The performance of smart antenna greatly depends on the effectiveness of DOA estimation algorithm. This paper analyzed the
performance of MUSIC (Multiple Signal Classification) algorithm for DOA estimation. simulation results shows that MUSIC provide
better angular resolution for increasing number of array element, distance between array element and number of samples. All the
simulations are carried out using MATLAB.
Keywords: DOA (Direction of arrival), MUSIC (Multiple signal classification), ULA(Uniform linear array)
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1. INTRODUCTION
The technique used for estimating the direction of
arrival(DOA) of radio signals in wireless system has received
considerable attention because estimating the direction of
arrival of several radio signals impinging on an array of
sensors is required in a variety of other applications, including
radar, sonar and seismology[1-2].
DOA estimation using a fixed antenna has many
disadvantages such as its resolution is limited by antenna’s
main lobe beam width [3].Antenna’s mainlobe beam width is
inversely proportional to physical size. Thus improving
accuracy of angle measurement by increasing physical size of
receiving antenna is not always a practical solution. certain
systems such as a missile seeker or aircraft antenna have
physical size limitation, therefore they provide wide main lobe
beam width. So that resolution is poor.
Instead of using a single antenna ,an array antenna system
with innovative signal processing can enhance the resolution
of signal DOA[4]. A array antenna has better performance in
signal reception and parameter estimation.
As shown in fig.1 DOA estimation is depends on many
parameters such as number of mobile users, inter element
spacing, number of signals and spatial distribution.
There are many different super resolution algorithms such as
spectral estimation, model based and Eigen analysis [5]. In
this paper we concentrate on estimation of DOA using MUSIC
(Multiple signal classification) algorithm.
Fig-1:.DOA Estimation Parameter.
2. ARRAY SENSOR SYSTEM
The system consists of ULA with M antenna elements that are
linearly spaced along with equal distance.
Fig.2: System model for DOA estimation using a uniform
linear array of M elements.
The M elements of ULA receives signals from a remote souce
i. The spacing between the elements Δ should be half
wavelength of received signals. Suppose a plane wave signal