Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Performance analysis of the VIA-ESPRIT algorithm

Performance analysis of the VIA-ESPRIT algorithm

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings F (Radar and Signal Processing) — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The VIA-ESPRIT algorithm is a computationally efficient method for direction of arrival (DOA) estimation. This algorithm uses virtual interpolated arrays (VIA) to apply ESPRIT type techniques to arbitrary array geometries. This paper presents a performance analysis of VIA-ESPRIT. Expressions for the bias and the variance of the estimation errors are derived. Simulation results verify the theoretically predicted performance.

References

    1. 1)
      • Fu, Li, Vaccaro, J., Tufts, D.N.: `Unified performance analysis of subspace-based estimation algorithms', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1990, Albuquerque, New Mexico, p. 2575–2578.
    2. 2)
      • M.D. Zoltowski , D. Stavrinides . Sensor array signal processing via a procrustes rotations based eigenanalysis of the ESPRIT data pencil. IEEE Trans. , 832 - 861
    3. 3)
      • A.J. Weiss , M. Gavish . Direction finding using ESPRIT with interpolated arrays. IEEE Trans. , 6 , 1473 - 1478
    4. 4)
      • R. Roy , A. Paulraj , T. Kailath . ESPRIT — A sub-space rotation approach to estimation of parameters of cisoids in noise. IEEE Trans. , 1340 - 1342
    5. 5)
      • B. Friedlander , A.J. Weiss . , Direction finding for correlated signals using spatial smoothing with interpolated arrays.
    6. 6)
      • R. Roy , T. Kailath . ESPRIT — Estimation of signal parameters via rotational invariance techniques. IEEE Trans. , 984 - 995
    7. 7)
      • D.R. Brillinger . (1981) , Time series: data analysis and theory.
    8. 8)
      • B.D. Rao , V.S. Hari . Performance analysis of ESPRIT and TAM in determining the direction of arrival of plane waves in noise. IEEE Trans. , 12 , 1990 - 1995
    9. 9)
      • B. Friedlander . , The interpolated root-MUSIC algorithm.
    10. 10)
      • Friedlander, B.: `Direction finding with an interpolated array', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1990, Albuquerque, New Mexico, p. 2951–2954.
    11. 11)
      • Weiss, A.J., Gavish, M.: `The interpolated ESPRIT algorithm', Proc. IEEE Int. Conf. Acoust. Speech, Signal Processing, May 1991, Toronto, p. 3725–3728.
    12. 12)
      • A. Paulraj , R. Roy , T. Kailath . A subspace rotation approach to signal parameter estimation. Proc. IEEE , 7 , 1044 - 1045
    13. 13)
      • Weiss, A.J., Friedlander, B.: `Performance analysis of spatial smoothing with interpolated arrays', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, May 1991, Toronto, p. 1377–1380.
    14. 14)
      • Hua, Y., Sarkar, T.K.: `Matrix pencil method and its applications', Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, April 1988, New York, p. 2476–2479.
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-f-2.1993.0017
Loading

Related content

content/journals/10.1049/ip-f-2.1993.0017
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address