Discrete Receive Beamforming

We present a new approach for analog receive beamforming if phase shifters and amplifiers have finite resolution only. Then, the maximization of the signal-to-interference-plus-noise ratio (SINR) is a discrete optimization problem with a nonconcave objective function. The discrete maximization probl...

Full description

Saved in:
Bibliographic Details
Published inIEEE signal processing letters Vol. 22; no. 7; pp. 958 - 962
Main Authors Israel, Johannes, Fischer, Andreas, Martinovic, John, Jorswieck, Eduard A., Mesyagutov, Marat
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Array signal processing
Arrays
Branch-and-bound
discrete antenna weights
Interference
receive beamforming
Signal processing algorithms
Signal to noise ratio
SINR maximization
Upper bound
Vectors
Online AccessGet full text

Cover

More Information
Summary:We present a new approach for analog receive beamforming if phase shifters and amplifiers have finite resolution only. Then, the maximization of the signal-to-interference-plus-noise ratio (SINR) is a discrete optimization problem with a nonconcave objective function. The discrete maximization problem is solved exactly by means of a branch-and-bound algorithm. Based on the Capon method, we derive a new and efficient way of computing upper SINR-bounds for the subproblems occurring at the nodes of the branch-and-bound tree. Results of numerical simulations are provided and compared to an earlier approximate approach.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2014.2379333