Eigenstructure beamspace root estimator bank with interpolated array
نویسندگان
چکیده
A beamspace root modification of PseudoRandom Joint Estimation Strategy (PR-JES) [1] is developed. The essence of PR-JES is to generate the eigenstructure-based estimator bank for given sample covariance or data matrix. Combining the results of “parallel” underlying estimators, PR-JES removes the outliers and improves the threshold performance. In the case of non-uniform array, the interpolated array approach is used to enable the application of root underlying estimators. Simulations and results of real ultrasonic data processing show that the proposed beamspaceroot implementation significantly outperforms spectral elementspace PR-JES and achieves the performance similar or better than that of stochastic ML method.
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تاریخ انتشار 1998