Gaussian white noise generator based on FPGA (Field Programmable Gate Array)

Abstract

The invention relates to a Gaussian white noise generator based on an FPGA (Field Programmable Gate Array) in the technical field of signal processing, comprising a pseudorandom sequence generating device, an arithmetic device, a storage device and a control module, wherein the control module and the arithmetic device are connected to transmit arithmetic command signals, the control module and the storage device are connected to transmit data address signals and data valid signals, the control module and the pseudorandom sequence generating device are connected to transmit sequence generating command signals, the arithmetic device and the storage device are connected to transmit arithmetic data and an arithmetic result, and the pseudorandom sequence generating device and the storage device are connected to transmit pseudorandom sequence signals. The arithmetic device comprises a summator, a multiplier, a second shift register and a binary circuit selector. The invention greatly reduces the complexity of the device and improves the output speed of Gaussian white noise, and the variance of the obtained Gaussian white noise is approximate to 1, thereby the invention is suitable for complex systems.

Description

technical field [0001] The present invention relates to a device in the technical field of signal processing, in particular to a Gaussian white noise generator based on FPGA (Field Programmable Gate Array, Field Programmable Gate Array). Background technique [0002] In communication and control systems, Gaussian white noise is a very common noise signal, so it is necessary to use Gaussian white noise signal source to test and verify the anti-interference performance of the system. Meanwhile, in a wireless communication channel, a Gaussian white noise signal source is often required. Therefore, it is necessary to design and implement a Gaussian white noise signal source with simple structure and reliable performance for system detection. [0003] Existing Gaussian noise generators usually fall into two categories: physical noise generators and digital synthetic noise generators. Although the precision of the physical noise generator is relatively high, the implementation c...

AI Technical Summary

Problems solved by technology

However, the digital Gaussian white noise produced by this technology has a low output rate and poor effect, which is not suitable for the application of complex systems.

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