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 :
بازگشت