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EIGNVALUE SHIFT SUPPERRESOLUTION ALGORITHM
作者姓名:Zhang  Yongjun
作者单位:Zhang Yongjun (institute of Command and Technology,COSTIND,Beijing 101407) Chen Zongzhi (Institute of Electronics,Academia Sinica,Beijing 100080)
摘    要: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.


Eignvalue shift supperresolution algorithm
Zhang Yongjun.EIGNVALUE SHIFT SUPPERRESOLUTION ALGORITHM[J].Journal of Electronics,1997,14(1):1-6.
Authors:Zhang Yongjun  Chen Zongzhi
Affiliation:(1) Institute of Command and Technology, COSTIND, 101407 Beijing;(2) Institute of Electronics, Academia Sinica, 100080 Beijing
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.
Keywords:Inverse power iteration  Eigenvalue shift  Superresolution
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