Name
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 |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/78.774774 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
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 | Pseudorandom noise,Signal processing,Mathematical optimization,Algorithm,Outlier,Exploit,Speech recognition,Unitary state,Resampling,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
47 | 8 | 1053-587X |
Citations | PageRank | References |
11 | 0.99 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A.B. Gershman | 1 | 2212 | 152.13 |
| M. Haardt | 2 | 495 | 45.19 |