An Improved Music Algorithm for DOA Estimation of Coherent Signals

نویسندگان

  • Yan Gao
  • Wenjing Chang
  • Zhengjiang Wu
چکیده

The estimation of direction of arrival (DOA) is the main study of the direction finding and location of radio signal, MUSIC algorithm is the most classic DOA estimation. MUSIC algorithm can estimate independent signals’ DOA effectively, but it is failure to coherent signals. Concerning the issue, the modified MUSIC algorithm works when the correlative signals exist. However, the estimation performance of modified MUSIC algorithm will deteriorate in the case that the signal-noise rate is low. This paper improves the modified MUSIC algorithm by using matrix decomposition. Finally, the computer simulation results prove that this proposed method has better direction finding performance than the modified MUSIC algorithm with low signal to noise ratio. Copyright © 2014 IFSA Publishing, S. L.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Novel DOA Estimation Approach for Unknown Coherent Source Groups with Coherent Signals

In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (EGM), Joint Approximate Diagonalization of Eigenmatrices (JADE) and Modified Forward-Backward Linear Prediction (MFBLP) algorithms is proposed which determines the number of non-coherent source groups and estimates the Direction Of Arrivals (DOAs) of coherent signals in each group. First, the MDL...

متن کامل

DOA Estimation Algorithm for Smart Antennas-An Investigation

High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of int...

متن کامل

Improved MUSIC Algorithm for DOA Estimation of Coherent Signals via Toeplitz and Fourth-order-cumulants

In this paper we propose an improved MUSIC (Multiple Signal Classification) algorithm applicable for direction of arrival (DOA) estimation of coherent signals in the presence of one-dimensional uniform linear array (ULA), which is based on Toeplitz matrix theory and Fourth-order-cumulants (Foc). In the signal model, a new Toeplitz construction method combining SVD (singular value decomposition)...

متن کامل

Windowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation

During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...

متن کامل

Hybridization of Genetic Algorithm and IBMUSIC applied to DOA estimation under coherent signals

This paper introduces a new hybrid of genetic algorithm (GA) and iteration beamspace multiple signal classification (IBMUSIC) suitable for making direction-of-arrival (DOA) in coherent signals. In general, the problem of estimation the DOA in coherent signals is more difficult to solve and conventional DOA estimation methods such as minimum variance distortionless response (MVDR) and multiple s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014