Name
Abstract | ||
|---|---|---|
We derive variance and bias expressions of direction-of-arrival (DOA) estimates for MIN-NORM and FINE. These expressions, for arbitrarily configured arrays, are valid and accurate over wide ranges of SNR and number of snapshots. Using these expressions we illustrate that both MIN-NORM and FINE have smaller estimate bias and further FINE has comparable estimate variance compared to MUSIC |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1109/78.298288 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
eigenspace spatial spectrum algorithm,min-norm,wide range,comparable estimate variance,snapshots,smaller estimate bias,variance,bias expression,fine,configured array,music,array signal processing,arbitrarily configured arrays,direction-of-arrival estimate,direction-of-arrival estimates,bias,snr,derive variance,eigenvalues and eigenfunctions,computational complexity,algorithm design and analysis,multiple signal classification,analysis of variance,spatial resolution,direction of arrival | Journal | 42 |
Issue | ISSN | Citations |
7 | 1053-587X | 3 |
PageRank | References | Authors |
0.80 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoliang Yu | 1 | 7 | 1.56 |
| K.M. Buckley | 2 | 3 | 0.80 |