.png){kind=icon}
.png){kind=icon}
Return
A Novel Approach for Unit-Modulus Least-Squares Optimization Problems
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2023.3254452.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We describe a novel constrained least-squares (LS) optimization problem and propose an iterative solution that deals with the constraints of placing variables on the complex unit circle. We reformulate the LS problem with unit magnitude constraints so that we obtain efficient closed-form local updates based on Procrustes orthogonal solutions that monotonically improve the objective function. We show the performance of the proposed algorithm in a synthetic experiment and an application to hybrid precoding/combining in mmWave MIMO communications.
Keywords:
Optimization
Iterative methods
Millimeter wave communication
Linear programming
Signal processing algorithms
Radio frequency
Precoding
Manifold optimization
unit modulus
constant magnitude
hybrid precoding and combining
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W