Numerical control oscillator based on GPU texture caching and accumulated error compensation and implementation method

Abstract

The invention discloses a numerical control oscillator based on GPU texture caching and accumulated error compensation and an implementation method, and belongs to the technical field of communication. According to the invention, high flexibility and high-efficiency parallel data processing capability of a graphic processing unit (GPU) can be utilized to design and realize the high-efficiency andhigh-precision numerical control oscillator NCO. According to the scheme, a sine lookup table LUT is constructed, and a texture memory of a graphics processing unit GPU is used for storing the sine lookup table LUT. The GPU receives input data and segmenting the data. The initial phase of the NCO corresponding to the ith section of input data and the phase of the NCO corresponding to the iL section of data are added to obtain an accumulated phase, and a lookup table index value index (iL) is constructed by utilizing the accumulated phase, and the lookup table index value index (iL) is used to search the sine lookup table LUT in the texture cache for sine and cosine orthogonal numerical control oscillator NCO signals.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a numerically controlled oscillator based on GPU texture cache and cumulative error compensation and an implementation method. Background technique [0002] Digital Down Converter (DDC) system is an important subsystem of modern aerospace measurement and control system. In a typical DDC system, the digital local oscillator is the most complex core device. [0003] In a traditional DDC system, the digital local oscillator is mainly realized by a numerical control oscillator (Numerical Control Oscillator, NCO). A typical NCO consists of an N-bit phase accumulator, a phase register, and an M-bit sine look-up table. Increasing the number of N and M bits can effectively improve the frequency and phase resolution, but the phase resolution accuracy of the lookup table is limited by the storage space on the FPGA chip and cannot be effectively improved. In recent years, with the...

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Problems solved by technology

[0005] Although the GPU-based NCO implementation method has the advantages of flexibility and high efficiency, the GPU-based floating-point number calculation method will accumulate errors due to the rounding error of the floating-point number operation in the phase accumulation process.

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