Experimental Results and Issues on Equalization for Nonlinear Memory Channel: Pre-Cursor Enhanced RAM-Dfe Canceler Lu Yuan

ISBN: 9781288911080

Published: March 12th 2013

Paperback

98 pages


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Experimental Results and Issues on Equalization for Nonlinear Memory Channel: Pre-Cursor Enhanced RAM-Dfe Canceler  by  Lu Yuan

Experimental Results and Issues on Equalization for Nonlinear Memory Channel: Pre-Cursor Enhanced RAM-Dfe Canceler by Lu Yuan
March 12th 2013 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 98 pages | ISBN: 9781288911080 | 8.16 Mb

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 theMoreThis 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.



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