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GPU (Graphics Processing Unit) implementation method for joint estimation of time-frequency difference parameters of communication signals

A technology for joint estimation and communication of signals, applied in satellite radio beacon positioning systems, instruments, measurement devices, etc. Estimate the effect of computational efficiency

Pending Publication Date: 2021-10-29
SEAS BEIJING INFORMATION TECH CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The traditional parameter estimation process adopts the serial mode CPU computing architecture. When the amount of data is large, the serial calculation will be very time-consuming, and with the change of the calculation amount, the calculation time will increase linearly, so the time-consuming problem needs to be solved urgently.

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  • GPU (Graphics Processing Unit) implementation method for joint estimation of time-frequency difference parameters of communication signals
  • GPU (Graphics Processing Unit) implementation method for joint estimation of time-frequency difference parameters of communication signals
  • GPU (Graphics Processing Unit) implementation method for joint estimation of time-frequency difference parameters of communication signals

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Embodiment Construction

[0060]The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0061] refer to figure 1 , an embodiment of the present invention provides a GPU implementation method for joint estimation of time-frequency difference parameters of communication signals, including the following steps S1 to S3:

[0062] S1, set the number of subsections for joint estimation, and copy the communication signal data from the CPU to the GPU memory;

[0063] In this embodiment, step S1 specifically includes th...

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Abstract

The invention discloses a GPU (Graphics Processing Unit) implementation method for joint estimation of time-frequency difference parameters of communication signals, which comprises the following steps of: setting segmentation times of joint estimation, and copying communication signal data from a CPU (Central Processing Unit) to a GPU memory; carrying out segmented time-frequency difference parameter joint estimation on the communication signal data according to the set segmentation times by utilizing a CUDA kernel function; and transmitting a time-frequency difference parameter joint estimation result back to the CPU memory, and releasing video memory resources. According to the method, the parallel computing capability of the GPU is fully utilized, so that the time-frequency difference parameter estimation operation efficiency is greatly improved, the timeliness of the method is far better than that of an original CPU system under the condition that the precision is not changed, and the requirements of a current real-time positioning system are greatly met.

Description

technical field [0001] The invention relates to the technical field of communication positioning, in particular to a GPU implementation method for jointly estimating time-frequency difference parameters of communication signals. Background technique [0002] The TDOA / FDOA index can be used in the joint positioning system. The estimation accuracy of TDOA and FDOA directly affects the positioning accuracy, and the processing speed directly affects the real-time performance of the positioning system. The traditional positioning system is realized by CPU, and the processing time of this method will increase linearly with the increase of data volume. When there is no prior condition for the time-frequency difference value in the usage scenario, it is necessary to estimate and calculate the time-frequency difference parameters exceeding 2G data volume, and the positioning system in CPU mode is almost impossible to use in real time. With the great development in the field of high-...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/02G01S19/42
CPCG01S5/0257G01S19/425
Inventor 侯素霞夏畅雄董剑峰
Owner SEAS BEIJING INFORMATION TECH CO LTD