Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints
Rui Zhou, Ziping Zhao, Daniel P. Palomar
Abstract
Minimax multiple-input multiple-output (MIMO) transmit beampattern matching is a fundamental and important problem in many MIMO systems. The problem is formulated to minimize the maximum beampattern matching error as well as suppress the cross-correlation beampatterns while taking different practical waveform constraints into consideration. Due to the high nonconvexity of the problem, the traditional way for problem solving is a two-stage approach, where a waveform covariance matrix is firstly designed and then the waveforms are synthesized from the covariance matrix under a specific constraint. This approach is usually very time consuming and only results in suboptimal solutions. In this paper, a novel and unified one-stage approach is proposed to solve the minimax beampattern matching problem which is capable of considering multiple waveform constraints. Superior performance of the proposed approach over the classical approach is verified through numerical simulations.
BibTeX
@inproceedings{icassp2019_unifiedframework,
title = {Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints},
author = {Rui Zhou and Ziping Zhao and Daniel P. Palomar},
booktitle = {ICASSP 2019},
year = {2019}
}