CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
Reseach Article

Robust Direction of Arrival Estimation using Multiple Signal Analysis

by Raja Sekhar Yeduri, G.radha Kumari, Ch.kusma Kumari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 11
Year of Publication: 2014
Authors: Raja Sekhar Yeduri, G.radha Kumari, Ch.kusma Kumari
10.5120/17730-8839

Raja Sekhar Yeduri, G.radha Kumari, Ch.kusma Kumari . Robust Direction of Arrival Estimation using Multiple Signal Analysis. International Journal of Computer Applications. 101, 11 ( September 2014), 17-21. DOI=10.5120/17730-8839

@article{ 10.5120/17730-8839,
author = { Raja Sekhar Yeduri, G.radha Kumari, Ch.kusma Kumari },
title = { Robust Direction of Arrival Estimation using Multiple Signal Analysis },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 11 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number11/17730-8839/ },
doi = { 10.5120/17730-8839 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:23.008891+05:30
%A Raja Sekhar Yeduri
%A G.radha Kumari
%A Ch.kusma Kumari
%T Robust Direction of Arrival Estimation using Multiple Signal Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 11
%P 17-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Direction of arrival (DOA) estimation is one of the focal problems in the fields of Wireless communications, Radar, Sonar, Radio Astronomy and Seismology. The main objective of the DOA estimation is to obtain the desired signals direction as well as the interference signals direction based on the data received from the array sensor at the base station. In literature various techniques are researched for DOA estimation. Among which are two high resolution algorithms, viz. MUSIC (MUltiple SIgnal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique, MUSIC algorithm is implemented in this paper with Empirical Mode Decomposition technique. The key feature of EMD is to decompose a signal into sum of intrinsic mode functions (IMF) with a final residue of non linear and non stationary signals. The work presented in this paper deals with EMD application to the problem of DOA estimation as a preprocessing technique. This technique separately de-noises the rows of the array data matrix where each row corresponds to the output of a particular sensor array. Especially in low-SNR conditions, the estimation performance of MUSIC algorithm is enhanced significantly when de-noising is given to array data matrix prior to DOA estimation stage.

References
  1. Moustafa M. Abdalla, Mostafa B. Abuitbel, Mohamed A. Hassan,"Performance evaluation of direction of arrival estimation using music and esprit algorithms for mobile communication systems" ©2013 IEEE.
  2. Frank B. Gross, Smart Antennas for Wireless Communications.
  3. Mustafa Abdalla, Khaled A. Madi, and Rajab Farhat, "Sensitivity Analysis for Direction of Arrival Estimation Using Capon and Music Algorithms in Mobile Radio Environment",International Science Index 72, 2012 waset. org/publications/7555.
  4. Anil Chacko, Samit Ari "Denoising of ECG signals using Empirical Mode Decomposition based technique" ISBN: 978-81-909042-2-3 ©2012 IEEE.
  5. Ainur K. Shauerman , Alexander A. Shauerman "Spectral- Based Algorithms of Direction-of-Arrival Estimation for Adaptive Digital Antenna Arrays" , ISBN 978-1-4244-6628-3/10/$26. 00 © IEEE.
  6. K. Al-Midfa, ''Investigation of Direction-of-Arrival Algorithms''. Ph. D. Thesis, University of Bristol, UK, 2003.
  7. Tsoulos, G "Smart Antennas for Mobile Communication Systems: Benefits and Challenges", IEE Electron. Comm. Eng. Journal, ll (2): 84-94, Apr. 1999.
  8. Schmidt, R. , "Multiple Emitter Location and Signal Parameter Estimation," IEEE Transactions on Antenna. Propagation, Vol. AP-34, No. 2, pp. 276–280, March 1986.
  9. N. E. Huang, Z. Shen, S. R. Long et al. , "The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society A, vol. 454, no. 1971, pp. 903–995, 1998.
  10. Kusma Kumari Cheepurupalli and Raja Rajeswari Konduri,"Noisy Reverberation Suppression Using AdaBoost Based EMD in Underwater Scenario", Hindawi Publishing Corporation International Journal of Oceanography, Article ID 563780, 7 pages, 2014.
  11. W. -B. Jin and Y. Jun, "Velocity determination of single sound source based on Doppler Effect," in Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR '07), pp. 956–961, Beijing, China, November 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Direction Of Arrival (DOA) MUltiple SIgnal Classification (MUSIC) Empirical Mode Decomposition (EMD) Intrinsic Mode Function (IMF).