Title :
Improving the performance of Unitary ESPRIT via pseudo-noise resampling
Author :
Gershman, A.B. ; Haardt, Martin
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
fDate :
8/1/1999 12:00:00 AM
Abstract :
A new pseudo-noise resampling technique is proposed to mitigate the effect of outliers in Unitary ESPRIT. This algorithm improves the performance of Unitary ESPRIT in unreliable situations, where the so-called reliability test has a failure. For this purpose, we exploit a pseudo-noise resampling of a failed Unitary ESPRIT estimator with a censored selection of “successful” resamplings recovering the nonfailed outputs of the reliability test
Keywords :
array signal processing; direction-of-arrival estimation; noise; reliability; signal sampling; DOA estimation; Unitary ESPRIT; algorithm; failed Unitary ESPRIT estimator; nonfailed outputs recovery; outliers; pseudo-noise resampling; reliability test failure; uniform linear array; unreliable situations; Covariance matrix; Data models; Direction of arrival estimation; Eigenvalues and eigenfunctions; Narrowband; Noise measurement; Sensor arrays; Sparse matrices; Testing; Vectors;
Journal_Title :
Signal Processing, IEEE Transactions on
