DocumentCode
179637
Title
Efficient jamming strategies on a MIMO Gaussian channel with known target signal covariance
Author
Jie Gao ; Vorobyov, Sergiy A. ; Hai Jiang
Author_Institution
Dept. Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear
2014
fDate
4-9 May 2014
Firstpage
5700
Lastpage
5704
Abstract
The problem of jamming on a multiple-input multiple-output (MIMO) Gaussian channel is investigated. We show that the existing result based on the simplification of the system model by neglecting the jamming channel leads to losing important insights regarding the effect of jamming power and jamming channel on the jamming strategy. We find a closed-form optimal solution for the problem under some positive semidefinite condition without considering simplifications in the model. If the condition is not satisfied and the optimal solution may not exist in closed-form, we find a suboptimal solution in closed-form as a close approximation of the optimal solution. Simulation results verify the effectiveness of the proposed solutions.
Keywords
Gaussian channels; MIMO communication; approximation theory; covariance analysis; jamming; wireless channels; MIMO Gaussian channel; closed-form approximation optimal solution; efficient jamming channel strategy; multiple-input multiple-output Gaussian channel; positive semidefinite condition; target signal covariance; Approximation methods; Covariance matrices; Jamming; MIMO; Receiving antennas; Transmitters; Jamming; MIMO; closed-form solution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6854695
Filename
6854695
Link To Document