Moazzen, Hamidreza, Majidi, Mahdi, Mohammadi, Abbas. (1398). Linearization of M-LINC Systems Using GMP and Particle Swarm Optimization for Wireless Communications. نشریه مهندسی عمران امیرکبیر, 51(2), 221-226. doi: 10.22060/miscj.2019.16585.5162
Hamidreza Moazzen; Mahdi Majidi; Abbas Mohammadi. "Linearization of M-LINC Systems Using GMP and Particle Swarm Optimization for Wireless Communications". نشریه مهندسی عمران امیرکبیر, 51, 2, 1398, 221-226. doi: 10.22060/miscj.2019.16585.5162
Moazzen, Hamidreza, Majidi, Mahdi, Mohammadi, Abbas. (1398). 'Linearization of M-LINC Systems Using GMP and Particle Swarm Optimization for Wireless Communications', نشریه مهندسی عمران امیرکبیر, 51(2), pp. 221-226. doi: 10.22060/miscj.2019.16585.5162
Moazzen, Hamidreza, Majidi, Mahdi, Mohammadi, Abbas. Linearization of M-LINC Systems Using GMP and Particle Swarm Optimization for Wireless Communications. نشریه مهندسی عمران امیرکبیر, 1398; 51(2): 221-226. doi: 10.22060/miscj.2019.16585.5162

Linearization of M-LINC Systems Using GMP and Particle Swarm Optimization for Wireless Communications

AUT Journal of Modeling and Simulation
مقاله 14، دوره 51، شماره 2، اسفند 2019، صفحه 221-226    اصل مقاله (815.74 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/miscj.2019.16585.5162
نویسندگان
Hamidreza Moazzen1؛ Mahdi Majidi* 2؛ Abbas Mohammadi1
1Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
2Department of Electrical and Computer engineering, University of Kashan, Kashan, Iran
چکیده
In this paper, an efficient algorithm for the efficiency maximization of the multilevel linear amplification using nonlinear components (M-LINC) systems is proposed regarding the linearity of the system. In this algorithm, we use the generalized memory polynomial (GMP) to provide a behavioral model for the power amplifier (PA) and calculate the power spectral density (PSD) of the output signal of the system instead of using complicated analytical methods or time-consuming circuit level simulations. In order to have a reliable model, a modeling process which validates the static and dynamic behaviors of the obtained model is provided, and the validation is performed through the time domain signals, PSD, and AM-AM characteristics. As an example, we optimize the efficiency of a 6 level LINC system with a 2.4 GHz 25 W Doherty PA and a 15 MHz three-tone signal using the particle swarm optimization (PSO) method where an upper bound on the adjacent channel leakage ratio (ACLR) is considered as the linearity constraint. Our results show that for each given ACLR limit by a communication standard, the efficiency can be maximized with a certain number of levels in M-LINC system. Furthermore, the results unveil the trade-off between linearity and efficiency in M-LINC systems.
کلیدواژه‌ها
M-LINC؛ outphasing؛ generalized memory polynomial؛ particle swarm optimization
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