Methodology for FPGA Implementation of a Chaos-based AWGN Generator

LUCIANA DE MICCO; HILDA A. LARRONDO

Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation

Editorial Discovery

Año: 2016; p. 43 - 58

Additive White Gaussian Noise (AWGN) generators are a basic tool for the test and measurement of digital systems. One drawback for hardware implementation of the classical used algorithms is that they require the hardware implementation of complex operations (such as sinusoidal and logarithmic functions). In this chapter a method for the design and hardware implementation of an AWGN generator based on chaotic maps is described. The advantage is that deterministic chaotic systems are described by simple nonlinear equations, and therefore they are straightforward to implement in hardware. To ensure that the generated sequence has the desired Probability Density Function (PDF), the chaotic map, which is the heart of the system, is synthesized using an approach based on the theory of positive matrices method. The hardware implementation was developed using an Altera Cyclone IV FPGA with the DE-115 Development Board.