Publication Type : Conference Proceedings
Publisher : Institute of Electrical and Electronics Engineers Inc
Source : IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc. (2016)
ISBN : 9781509016235
Keywords : Algorithmic levels, Autocorrelation, Cognitive radio, Compensation factor, Computer circuits, Correlation detectors, Distributed computer systems, Electric network parameters, Field programmable gate arrays (FPGA), FPGA implementations, Frequency allocation, Frequency division multiplexing, Frequency offsets, Hardware, Hardware Co simulations, MATLAB, Offset compensation, Orthogonal frequency division multiplexing, Radio applications, Robotics, Signal encoding, Spectrum detection, VLSI circuits
Campus : Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electronics and Communication
Verified : No
Year : 2016
Abstract : In this paper, FPGA implementation of an autocorrelation based spectrum detector which is capable of overcoming DC offset and frequency offset problems is presented. There exist different non-idealities which deteriorate the performance of spectrum sensing algorithms developed for cognitive radio applications. Here, we analyze the effect of DC offset, frequency offset and their combined presence on spectrum sensing performance. The compensation factors which are incorporated make the algorithm tolerant against the two offsets. Algorithmic level verification has been done on Matlab. Hardware co-simulation has been done and the system has been tested with LTE 20 MHz signals. The algorithm has been implemented on Xilinx Virtex 5 board (XC5VLX110T) and the hardware results have been validated. © 2016 IEEE.
Cite this Research Publication : P. Ishwerya, Geethu S., and Lakshminarayanan, G., “Autocorrelation based spectrum sensing architecture on FPGA with dynamic offset compensation”, IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.