Name
Title | ||
|---|---|---|
A fast-converging space-time adaptive processing algorithm for non-Gaussian clutter suppression |
Abstract | ||
|---|---|---|
The normalized fractionally-lower order moment (NFLOM) algorithm differs from the normalized least mean square (NLMS) algorithm in that it minimizes the lower order moment (p |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.dsp.2010.11.004 | Digital Signal Processing |
Keywords | Field | DocType |
normalized fractionally-lower order moment,normalized least mean square (nlms) algorithm,compound k distribution,fast-converging space-time adaptive processing,convergence,mean square,non-gaussian clutter suppression,clutter suppression,space-time adaptive processing (stap),adaptive filtering,normalized fractional lower order moment (nflom) algorithm,beamforming,lower order moment | Least mean squares filter,Convergence (routing),Beamforming,Mathematical optimization,Normalization (statistics),Clutter,Algorithm,Gaussian,Adaptive filter,Mathematics,Space-time adaptive processing | Journal |
Volume | Issue | ISSN |
22 | 1 | Digital Signal Processing |
Citations | PageRank | References |
3 | 0.42 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yahong Rosa Zheng | 1 | 885 | 76.15 |
| Tiange Shao | 2 | 81 | 3.96 |
| Erik Blasch | 3 | 1051 | 90.91 |