Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion

Date

2019-01-01

Author

Yesil, Soner
Sen, Cansu
Yılmaz, Ali Özgür

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

233
views

0
downloads

This paper presents an FPGA implementation of the Real Valued Time Delay Neural Network (RVTDNN) based digital predistortion with a very low resource utilization and high throughput. The implementation exploits efficient utilization of FPGA primitives and approximation of activation functions that can be realized with simple logic operations. The proposed modifications and constraints on the algorithms have been decided and verified based on a closed-loop adaptive hardware setup including RFHIC RWP03040-1H PA as the unit under test together with injected RF impairments. Over 20dB of in-band performance gain has been reported with a (4,8,2) RVTDNN configuration utilizing only 52 DSP48 blocks, 224 LUTs and 120 FFs.

Subject Keywords

RVTDNN, Activation function, DPD

URI

https://hdl.handle.net/11511/41038

DOI

https://doi.org/10.1109/icecs46596.2019.8964743

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Empirical Proof of Concept for TE Generation in Mobile Computers Denker, Reha; Muhtaroglu, Ali; Külah, Haluk (2012-12-05) Thermoelectric (TE) module integration into a mobile computer has been experimentally investigated in this paper for its energy harvesting opportunities. For this purpose, a detailed Finite Element Analysis (FEA) model was constructed for thermal simulations. The model outputs were then correlated with the thermal validation results of the target system. A suitable "warm spot" has been selected, based on the FEA model, to integrate a commercial TE micro-module inside the system with minimum or no notable im...
Implementation Studies of Robot Swarm Navigation Using Potential Functions and Panel Methods Merheb, Abdel-Razzak; GAZİ, VEYSEL; Sezer Uzol, Nilay (2016-10-01) This paper presents a practical swarm navigation algorithm based on potential functions and properties of inviscid incompressible flows. Panel methods are used to solve the flow equations around complex shaped obstacles and to generate the flowlines, which provide collision-free paths to the goal position. Safe swarm navigation is achieved by following the generated streamlines. Potential functions are used to achieve and maintain group cohesion or a geometric formation during navigation. The algorithm is i...
Investigation of Alternative Array Configurations of Nanowires for Maximum Power Transmission at Optical Frequencies Karaosmanoglu, Bariscan; Satana, Hasan Aykut; Dikmen, Fatih; Ergül, Özgür Salih (2017-07-14) We present a computational analysis and comparison of nanowire arrays for efficient transmission of electromagnetic power at optical frequencies. A reliable simulation environment involving the multilevel fast multipole algorithm for fast iterative solutions of surface integral equations is used to accurately compute field intensity and power density values in the vicinity of nanowires in diverse configurations. The results demonstrate favorable properties of honeycomb structures that can provide efficient ...
Experimental characterization of collapse-mode CMUT operation Oralkan, Omer; Bayram, Barış; Yaralioglu, Goksen G.; Ergun, A. Sanli; Kupnik, Mario; Yeh, David T.; Wygant, Ira O.; Khuri-Yakub, Butrus T. (2006-08-01) This paper reports on the experimental characterization of collapse-mode operation of capacitive micromachined ultrasonic transducers (CMUTs). CMUTs are conventionally operated by applying a direct current (DC) bias voltage less than the collapse voltage of the membrane, so that the membrane is deflected toward the bottom electrode. In the conventional regime, there is no contact between the membrane and the substrate; the maximum alternating current (AC) displacement occurs at the center of the membrane. I...
Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays Sayli, Mustafa; YILMAZ, ENES (2015-08-01) In this paper, we consider existence and global exponential stability of periodic solution for state-dependent impulsive shunting inhibitory cellular neural networks with time-varying delays. By means of B-equivalence method, we reduce these state-dependent impulsive neural networks system to an equivalent fix time impulsive neural networks system. Further, by using Mawhin's continuation theorem of coincide degree theory and employing a suitable Lyapunov function some new sufficient conditions for existence...

Citation Formats

S. Yesil, C. Sen, and A. Ö. Yılmaz, “Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41038.