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A multi-channel fblms implementation method based on GPU acceleration

An implementation method and multi-channel technology, applied in the field of real-time signal processing, can solve problems such as multi-channel signal processing implementation, suppression ratio reduction, GPU algorithm optimization, etc., to meet real-time requirements, maintain computing time, and improve computing speed effect

Active Publication Date: 2021-12-31
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, this method does not optimize the GPU algorithm for the internal structure of FBLMS. Segmenting the data will lead to a decrease in the suppression ratio, and it does not mention the implementation of signal processing under multi-channel

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  • A multi-channel fblms implementation method based on GPU acceleration
  • A multi-channel fblms implementation method based on GPU acceleration
  • A multi-channel fblms implementation method based on GPU acceleration

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Embodiment Construction

[0026] The advantages of the present invention are verified below through the actual data processing examples.

[0027] The DTMB digital TV signal is used as the external radiation source, and the bandwidth of the DTMB signal is 7.56MHz. The center frequency of data sampling in this experiment is 688MHz, and the sampling rate is 10MHz. There are 5 of them. Considering the weak characteristics of the radar target signal of the external radiation source, the long accumulation is selected, so the length of the experimental iteration data is selected as 5MHz (that is, the data of 0.5S).

[0028] The CPU serial processing method, the performance comparison of the existing GPU processing method and the method of the present invention will be done below. It should be noted that since the existing GPU processing method is only applicable to single-channel, in order to better compare the single-channel situation, the fourth and ninth steps of the steps are omitted, and the single-chan...

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Abstract

The invention belongs to the technical field of real-time signal processing of external radiation source radar, and relates to a multi-channel FBLMS realization method based on GPU acceleration. The present invention optimizes the internal structure of the FBLMS algorithm, performs FFT transformation on the reference data after block and overlapping, and then performs weight iteration; FFT transformation is performed before the weight coefficient iteration, which reduces the FFT operation in the iteration process , increasing the computing speed. The clutter suppression of multi-channel echo signals is realized, and the parallel processing by GPU is used to meet the real-time requirements. In the case of sufficient GPU memory, it can support multi-channel clutter suppression processing, and keep the operation time basically unchanged.

Description

technical field [0001] The invention belongs to the technical field of real-time signal processing of external radiation source radar, and relates to a multi-channel FBLMS realization method based on GPU acceleration. Background technique [0002] In the radar signal processing of the external radiation source, there are direct waves and clutters in the radar echo signal, and it is necessary to suppress the direct waves and clutters. Common clutter suppression methods include Extended Correlation Algorithm (ECA), Least Mean Square (LMS), Recursive Least Squares (RLS), Normalized Least Mean Square (Normalized Least Mean Square, NLMS) and Frequency Block Least Mean Square (FBLMS), etc. ECA and RLS have better suppression effects on direct wave signals and multipath signals; however, the ECA algorithm involves matrix inversion, and the amount of calculation is too large, so it is not suitable for real-time systems; the calculation amount of RLS is O(N 2 ), and the computation...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陈章鑫郑光勇杨孟文沈晓峰钟霞
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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