Random Sampling Approaches for Implementation of FPGA in Signal Processing

Abstract:

Nowadays, digital front-end devices are widely used in large number of fields such as electronic appliances. Signals must be presented in an appropriate format, for example, the original analog signals must be converted into digital formats that can be recognized and used by digital equipment. In this paper, the random sampling technique is implemented by original design of a Pseudorandom Signal Sampler circuit for controlling ADC to relax constraints of receiver circuits supporting multiband signal processing. This new idea of using non-uniform sampling technique for multiband signals sampling allows the main advantage of suppressing spectral aliases at integer multiples of sampling frequency produced by conventional uniform sampling technique. This approach could reduce the constraints on the anti-aliasing filter, relax the automatic gain control dynamic range, and decrease the ADC dynamic power consumption. Experiments show that this approach achieve good performance and it could be implemented in FPGA in signal processing successfully.

• Periodical: Applied Mechanics and Materials (Volumes 670-671)
• Pages: 1184-1187
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.670-671.1184
• Online since: October 2014
• Authors: De Xin Li*
• Keywords: Computer Network, Field-Programmable Gate Array (FPGA), Implementation, Random Sampling, Signal Processing, Technology

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