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Experimental Results and Issues on Equalization for Nonlinear Memory Channel

Name: Experimental Results and Issues on Equalization for Nonlinear Memory Channel
Brand: Biblioscholar
SKU: 9781288911080
Price: 16.01 EUR
Availability: InStock

Pre-Cursor Enhanced RAM-Dfe Canceler

Автор: James LeBlanc

Език:

Корици: С меки корици

Издател: Biblioscholar

Наличност: Външен склад

Изпращаме след 14-21 дни

16.01 € 31.32 лв

This thesis investigates the effects of the High Power Amplifier (HPA) and the filters over a satell...

Информация за книгата

Автор

James LeBlanc

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

EAN

9781288911080

ISBN

9781288911080

Enbook ID

08287035

Издател

Biblioscholar

Теглоt

191

Размери

189 x 246 x 5

Пълно описание

This thesis investigates the effects of the High Power Amplifier (HPA) and the filters over a satellite or telemetry channel. The Volterra series expression is presented for the nonlinear channel with memory, and the algorithm is based on the finite-state machine model. A RAM-based algorithm operating on the receiver side, Pre-cursor Enhanced RAM-FSE Canceler (PERC) is developed. A high order modulation scheme , 16-QAM is used for simulation, the results show that PERC provides an efficient and reliable method to transmit data on the bandlimited nonlinear channel. The contribution of PERC algorithm is that it includes both pre-cursors and post-cursors as the RAM address lines, and suggests a new way to make decision on the pre-addresses. Compared with the RAM-DFE structure that only includes post- addresses, the BER versus Eb/NO performance of PERC is substantially enhanced. Experiments are performed for PERC algorithms with different parameters on AWGN channels, and the results are compared and analyzed. The investigation of this thesis includes software simulation and hardware verification. Hardware is setup to collect actual TWT data. Simulation on both the software-generated data and the real-world data are performed. Practical limitations are considered for the hardware collected data. Simulation results verified the reliability of the PERC algorithm. This work was conducted at NMSU in the Center for Space Telemetering and Telecommunications Systems in the Klipsch School of Electrical and Computer Engineering Department.