Paper Info
Title
Mutual Information-Based Waveform Design for MIMO Radar Space-Time Adaptive Processing
Abstract
This article considers the waveform design problem for airborne multiple-input-multiple-output (MIMO) radar systems with space-time adaptive processing (STAP). We choose the mutual information between the received signal and the target impulse response as the design metric to achieve enhanced detection performance under the influences from neighboring range cells. In order to solve the resulting optimization problem, we first decompose the objective function into two parts and consider their optimization individually. We optimize the first part by relaxing it using an upper bound and optimize the second part using a simple optimization procedure based on the majorization-minimization (MM) algorithm. The alternation direction method of multipliers (ADMM) framework is then adopted to derive the overall solution, where the MM algorithm is employed again to handle the fourth-order term of the waveform vector. Numerical results are provided to show that the proposed algorithm has better detection performance than that of the existing methods.
Year
DOI
Venue
2021
10.1109/TGRS.2020.3008320
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Clutter,multiple-input-multiple-output (MIMO) radar,mutual information,space-time adaptive processing (STAP),waveform design
Journal
59
Issue
ISSN
Citations 
4
0196-2892
2
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Guohao Sun161.78
Zishu He222854.71
Jun Tong32914.93
Xianxiang Yu42911.97
Shengnan Shi5173.60