Gaussian white noise generator and implement method thereof

Abstract

The invention discloses a Gaussian white noise generator and an implement method thereof, which relates to the technical field of noise generator. The digital Gaussian white noise generator of the invention acquires good time-domain Gaussian noise signals, and simultaneously obtains the output bandwidth as large as possible. The Gaussian white noise generator comprises a pseudo-random sequence generator, an FIR filter, a digital-analog converter, a low-pass filter and a high speed amplifier, wherein the pseudo-random sequence generator is used for generating a pseudo-random sequence; the FIR filter filters the pseudo-random sequence to obtain a band limited Gaussian white noise sequence; the digital-analog converter converts digital signals to analog signals; the low-pass filter inhibits out-of-band noise interference; and the high speed amplifier amplifies noise signals.

Description

technical field [0001] The invention relates to the technical field of noise generators, in particular to a Gaussian white noise generator and an implementation method. Background technique [0002] Existing hardware Gaussian noise generators are generally divided into two categories: physical noise generators and digital synthetic noise generators. Although the precision of the physical noise generator is high, the implementation circuit is relatively complicated, so the digital noise generator is mostly used in the project. In practical applications, it is hoped that the output of the designed noise generator has good Gaussian characteristics in the time domain and a large bandwidth in the frequency domain. However, due to the contradiction between the two, it is impossible to obtain a good time-domain Gaussian characteristic at the same time. characteristics and large bandwidth in the frequency domain. That is to say, the disadvantage of the existing digital noise gener...

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Problems solved by technology

Although the accuracy of the physical noise generator is high, but the implementation circuit is more complicated, so the digital noise generator is mostly used in the project

In practical applications, it is hoped that the output of the designed noise generator has good Gaussian characteristics in the time domain and a large bandwidth in the frequency domain. However, due to the contradiction between the two, it is impossible to obtain a good time-domain Gaussian characteristic at the same time. Features and large bandwidth in the frequency domain

That is to say, the disadvantage of the existing digital noise generator is that although the statistical characteristics of the output noise can be obtained, the bandwidth of the output noise is very narrow

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