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High Resolution Direction of Arrival Estimation using SPED

Published on None 2011 by Kavitha Issac, Jomon George, J Kanakaraj
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 6
None 2011
Authors: Kavitha Issac, Jomon George, J Kanakaraj
66aeaf0d-b5a4-4989-95c9-2d2f295ac324

Kavitha Issac, Jomon George, J Kanakaraj . High Resolution Direction of Arrival Estimation using SPED. International Conference on VLSI, Communication & Instrumentation. ICVCI, 6 (None 2011), 30-33.

@article{
author = { Kavitha Issac, Jomon George, J Kanakaraj },
title = { High Resolution Direction of Arrival Estimation using SPED },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 6 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 30-33 },
numpages = 4,
url = { /proceedings/icvci/number6/2671-1312/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Kavitha Issac
%A Jomon George
%A J Kanakaraj
%T High Resolution Direction of Arrival Estimation using SPED
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 6
%P 30-33
%D 2011
%I International Journal of Computer Applications
Abstract

The paper involves the design, development and implementation of a high-resolution direction of arrival estimation (DOA) algorithm. DOA estimator is essentially a beamformer used in conjunction with an array of sensors that collect spatial samples of propagating wave field to provide a versatile form of spatial filtering. High-resolution DOA estimation includes Minimum Variance Distortionless Response (MVDR) and Subband Peak Energy Detection (SPED) for broadband source location. The SPED implementation is conceptually a minimum variance beamformer. The data from the beamformer for each frequency bin is same with MVDR while the energy detection algorithm is different. Instead of summing the energy in a single azimuth bin for all frequency bins, SPED utilizes only the peak information to estimate the detection probability.

References
  1. Barry. D. Van Veel, K.M. Buckley, “Beamforming : A versatile approach to spatial filtering,” IEEE ASSP Mag., vol. 5, pp. 4-24, 1988.
  2. B.C. Kim, I.T. Lu, “High Resolution broadband bean forming based on the MVDR Method,” OCEANS 2000 IEEE Conference and exhibition, vol. 3. pp. 1673-1676, 2000.
  3. K.E. Nissar, P. Muralikrishna, V.P. Felix, “PC Based implementation of broadband adaptive beamformer,” NPOL, 2004.
  4. Priyabrada Sinha, Alan D. George, Keonwook Kim, “Parallel Algorithm for Robust broad-band VDR Bemaforming,” Journal of Computational Acoustics, Vol.10, pp. 69-96, 2002.
  5. Shefeng Yan, Yuvanliang Ma, “High resolution broad band beamforming and detection methods with real data,” Acoust.Sci.&Tech. vol.25,1, 2004.
  6. A. Oppenhein, R. Schrafer, Discrete Time Signal Processing, Prentice Hall, NJ, 1989.
  7. H.L. Vantrees, Optimum Array Processing, Wiley New York, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Beam Forming Minimum Variance Distortion less Response (MVDR) Sub-band Peak Energy Detection (SPED)