Parallel implementation method of real-time Gaussian white noise hardware generator

Abstract

The invention discloses a parallel implementation method of a real-time Gaussian white noise hardware generator. By the parallel implementation method, the Gaussian white noise hardware generator can generate high-speed and parallel high-quality Gaussian white noise in real time, at high speed and in parallel. According to the parallel implementation method, first, through high-speed parallel FPGA (field programmable gate array) implementation of uniform white noise based on a cellular automata theory, a method for calculating N-th initial vectors required by parallel implementation as well as a recursive function relationship of a cellular automata parallel generation algorithm are given; then, a low-complexity approach method based on a Box_Muller algorithm is given, the Box_Muller algorithm is simplified into simple multiplication and addition and CORDIC operation, and during FPGA implementation, a small number of multipliers and a small quantity of logical resources are needed, so that in case of relatively low consumption of the FPGA resources, long-cycle, large-bandwidth and good-quality Gaussian white noise can be generated in real time and at high speed.

Description

technical field [0001] The invention relates to the technical field of wireless channel simulation and noise modeling, in particular to a parallel implementation method of a real-time Gaussian white noise hardware generator. Background technique [0002] Because wireless channel simulation technology can reproduce an ideal, degraded, or even near-real radio wave propagation environment on the ground, and simulate the impact of various time and space changes in the channel on signal propagation, it has long become an indispensable verification in the technical fields of communication, measurement and control, etc. means of testing. Compared with wired channels, wireless channels are a harsh medium for radio wave propagation, with complex characteristics such as randomness and unpredictability. In the process of channel transmission, radio waves will inevitably be affected by random non-ideal characteristics such as noise interference, channel fading, ionospheric scintillatio...

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Problems solved by technology

However, the research focus of the above hardware generators is mainly on how to generate high-quality Gaussian white noise with low FPGA resource consumption, but ignores the generation speed of Gaussian white noise

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