Carrier signal generation method and device

Abstract

The invention provides a method and device for generating a carrier signal, and belongs to the technical field of digital communications. The method for generating the carrier signal comprises the steps that a target bit width of a phase accumulator is determined according to a preset condition, and the preset condition comprises a sampling frequency, frequency resolution, maximum frequency deviation and a speech-noise ratio; a phase position of the target bit width is decomposed to obtain a phase position of a first bit width and a phase position of a second bit width; the sum of the first bit width and second bit width is equal to the target bit width; function values corresponding to the phase position of the first bit width and the phase position of the second bit width are obtained and saved according to a preset function; amplitude quantization processing is conducted on the function values to generate the carrier signal. The method and device for generating the carrier signal reduces the calculation complexity.

Description

technical field [0001] The present invention relates to the technical field of digital communication, in particular to a method and device for generating a carrier signal. Background technique [0002] A numerically controlled oscillator (Numeric Controlled Oscillator, NCO for short) is used to generate a sine wave signal or a cosine wave signal with a variable frequency. As a local digital carrier signal, NCO is an important unit in digital communication technology. [0003] In the prior art, the generation algorithm of the NCO carrier signal mainly includes a Taylor series algorithm and a CORDIC algorithm. Both the Taylor series algorithm and the CORDIC algorithm are approximation algorithms. For the Taylor series algorithm, if it is an N-level synthesis, it needs to perform N multiplications and N-1 additions during implementation. When the phase accuracy is high, a large number of multipliers and adders are required. Although the CORDIC algorithm can Avoid using a lar...

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Problems solved by technology

For the Taylor series algorithm, if it is an N-level synthesis, it needs to perform N multiplications and N-1 additions during implementation. When the phase accuracy is high, a large number of multipliers and adders are required. Although the CORDIC algorithm can Avoid using a large number of multipliers, but it requires operations such as table lookup, shifting, addition, and registering, and it also takes up a lot of logic resources and registering resources, which makes the calculation more complex

[0004] Therefore, using the existing Taylor series algorithm or CORDIC algorithm makes the calculation complexity higher

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