White noise generating method used for simulation of demodulating decoder

Abstract

The invention discloses a white noise generating method used for simulation of a demodulating decoder. The method comprises the following steps: (1) determining the white noise power according to a signal to noise ratio and a signal power of a simulative goal; (2) determining performance number (PN) code approach according to the white noise power; (3) determining the code length LPN (logical page number) of the PN code according to the PN code approach determined in step (2); (4) structuring the white noise according to the PN code approach determined in step (2) and the code length of the PN code determined in step (3); (5) stimulating the signal to noise ratio of the demodulated decoder by using the white noise generated by the step (4). By adopting the invention, the white noise in the demodulated decoder simulation is generated, so that the error rate of the demodulating decoder can be stimulated by using the generated white noise.

Description

technical field [0001] The invention relates to a method for generating white noise for emulation of a demodulation decoder. Background technique [0002] Gaussian white noise is widely used, and it is indispensable for testing channel performance in hardware testing; it is also indispensable in software simulation. In the traditional demodulator simulation, the testbench is usually designed in VHDL or Verilog at the sub-level of the program, and the testbench simulation is rarely designed at the top level. This approach reduces reliability when used in on-board software and ASIC designs. There are generally two methods for the simulation of the top-level design: [0003] One approach is to build a matlab simulation module to collect a small piece of data with white noise added, which is used for the input of the simulation test. Using this method to simulate the demodulator decoder has several disadvantages. The first is that the matlab module must be continuously modifi...

AI Technical Summary

Problems solved by technology

Using this method to simulate the demodulator decoder has several disadvantages. The first is that the matlab module must be continuously modified during simulation, and there are many pieces of collected data. It is troublesome to use and it is not easy to traverse various input conditions.

The second is that the amount of each segment of data collected by matlab is limited, calling such data in testbench will cause periodic repetition of simulation data

During the simulation, it is necessary to constantly use hardware devices, change the hardware device settings, and collect signal data mixed with noise. There are many pieces of collected data, and the amount of data is large. It is not easy to pour it into the software for simulation. It is troublesome and difficult to traverse when using it. Various input conditions

Images