Name
Abstract | ||
|---|---|---|
Minimizing the expected mean squared error is one of the fundamental metrics applied to adaptive waveform design for active sensing. Previously, only cost functions corresponding to a lower bound on the expected mean squared error have been expressed for optimization. In this paper, we express an exact cost function to optimize for minimum mean squared error adaptive waveform design (MMSE-AWD). Th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2786277 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Cost function,Radar,Adaptive systems,Kalman filters,Parameter estimation,Sensors | Radar,Extended Kalman filter,Control theory,Waveform,Particle filter,Minimum mean square error,Mean squared error,Kalman filter,Estimation theory,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 5 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven Herbert | 1 | 4 | 1.09 |
| James R Hopgood | 2 | 960 | 52.95 |
| Bernard Mulgrew | 3 | 724 | 85.23 |