Name
Title | ||
|---|---|---|
Computationally Simple MMSE (A-Optimal) Adaptive Beam-Pattern Design for MIMO Active Sensing Systems via a Linear-Gaussian Approximation. |
Abstract | ||
|---|---|---|
This paper presents an approximate minimum mean squared error (MMSE) adaptive beam-pattern design (ABD) method for MIMO active sensing systems. The proposed approximate MMSE ABD method leverages the physics of the MIMO arrays to provide a linear-Gaussian approximation that is specific to MIMO active sensing systems, and yields a computationally simple optimization problem. Computational complexity... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2864571 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
MIMO communication,Sensors,Cost function,Approximation algorithms,Signal processing algorithms,Computational modeling | Approximation algorithm,Adaptive beamformer,Control theory,Minimum mean square error,MIMO,Algorithm,Mean squared error,Estimation theory,Optimization problem,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
66 | 18 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 0 |
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 |