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Eignvalue shift supperresolution algorithm

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Journal of Electronics (China)

Abstract

This paper provides a new approach to spatial spectral estimation, called eigenvalue shift superresolution algorithm. This method avoids the inverse covariance matrix. It can be applied to the processing of data received by spatially distributed array of sensors.

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References

  1. T. S. Durrani, K. C. Sharman, Eigenfilter approaches to adaptive array processing, IEEE Proc.-F, 130(1983)1, 22–28.

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Authors and Affiliations

  1. Institute of Command and Technology, COSTIND, 101407, Beijing

    Zhang Yongjun

  2. Institute of Electronics, Academia Sinica, 100080, Beijing

    Chen Zongzhi

Authors
  1. Zhang Yongjun
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  2. Chen Zongzhi
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Cite this article

Yongjun, Z., Zongzhi, C. Eignvalue shift supperresolution algorithm. J. of Electron.(China) 14, 1–6 (1997). https://doi.org/10.1007/s11767-996-1015-3

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  • DOI: https://doi.org/10.1007/s11767-996-1015-3

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