SMC Chapter Seminar Modeling and Predistortion Techniques for Nonlinear Power Amplifiers in Digital Communication Systems: A Statistical Approach
IEEE Northern Jersey Section SMC Chapter Seminar
Modeling and Predistortion Techniques for Nonlinear Power Amplifiers in Digital Communication Systems: A Statistical Approach
Haobo Lai, ECE Dept., NJIT
Time: 4:00-5:00 PM
Room: ECE 202
Date: February 5, 2016 (Friday)
Abstract:
Developments of digital communication systems in the last twenty plus years have demanded ever-increasing speeds of data transmissions. Consequently, we have witnessed more and more of complex modulation schemes, special accessing techniques, and novel multiplexing methods to achieve better spectral efficiency. These developments place more and more stringent requirements on the linearity of power amplifiers (PA) in the corresponding digital transmission links. To maintain a necessary level of power efficiency, PAs usually operate in a nonlinear region. Combined with high envelope fluctuations, unacceptable levels of distortions and interference are common without extra correction mechanisms. To combat these nonlinear effects, it is necessary to have tools to characterize PA behaviors accurately under digital stimuli, and, more importantly, to design effective linearizers for nonlinear PAs.
Traditional PA characterization methods, such as the amplitude-to-amplitude and amplitude-to-phase responses, and the intermodulation specifications from the two-tone measurement, fall short as the tool set for accurately predicting a PA’s behavior in the context of digital modulations. Meanwhile, there have been experimental findings that a PA’s behavior to digitally stimuli depends on its input statistics. Correspondingly, there have been efforts in characterizing PA behaviors and in designing amplifier linearization devices by including statistical information of transmitted signals, and/or by models derived from samples of PA input and output signals. Superior performance has been reported for resultant linearizer designs.
This work represents a new step in the direction of explicitly and thoroughly exploring the statistical properties of digitally modulated transmissions in the presence of amplifier nonlinearity, building on a sound theoretical foundation but aiming for strong practical designs. It starts with analytical solutions of two statistical polynomial representations of amplifier nonlinearity both as models and modeling approaches. One of the models is then applied to the predistortion linearization for PAs, by adopting two major predistorter design approaches. Moreover, we point out an important consequence of such predistorter designs that seems to have eluded most of the published researches. We scan the available solutions in the literature and provide possible future directions.
Bio-Sketch
Mr. Haobo Lai is the founder of Mico Analytics which is located in Rutherford, New Jersey. This organization primarily operates in the Application Computer Software business / industry within the Business Services sector. This organization has been operating for approximately 4 years. Lai, Haobo is estimated to generate $60,000 in annual revenues. He is presently pursuing his Ph.D. in the Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology. He received his BS. Degree from Xi’an Jiaotong University and MS in Electrical Engineering from New Jersey Institute of Technology.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- Newark, New Jersey
- United States
- Starts 15 January 2016 05:00 AM UTC
- Ends 05 February 2016 05:00 AM UTC
- No Admission Charge
Agenda
Time: 2pm, Feb. 5, 2016 Seminar
Place: ECE 202