Efficient MTD parallel processing method
A parallel processing and high-efficiency technology, used in radio wave measurement systems, instruments, etc., can solve problems such as the obvious impact of processing speed, the increase in the data volume of the signal processing platform, and the increase in the data sampling period.
Pending Publication Date: 2022-07-01
南京国睿防务系统有限公司
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Problems solved by technology
[0002] With the increasing complexity of radar combat scenarios, in order to more comprehensively detect the battlefield situation and better distance resolution capability, the data rate required by radar is increasing; in addition, due to the increase of radar detection range, the data sampling period increases; Combining the above two reasons, the amount of data that needs to be processed by the back-end signal processing platform has increased sharply; due to the large time resource consumption of the main computing unit (DFT) in the MTD algorithm, the increase in the amount of data has a particularly obvious impact on its processing speed ; If the processing method is not optimized, it will be difficult to save more CPU computing time resources for other advanced signal processing algorithms, which will lead to poor optimization of signal processing performance
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[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0029] like Figures 1 to 3 As shown, the specific implementation steps of the efficient MTD parallel processing method of the present invention are as follows:
[0030] 1) Prepare the window function, such as the Chebyshev window function, which is loaded in the program;
[0031] 2) The radar switches its working mode to MTD working mode;
[0032] 3) According to the system control, when the software judges the MTD processing mode,...
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The invention discloses an efficient MTD parallel processing method which comprises the following steps: step 1, preparing a window function, adopting a Chebyshev window function, and finishing loading in a program; 2, switching the working mode of the radar to an MTD working mode; 3, according to system control, when software judges that an MTD processing mode is obtained, efficient parallel processing is carried out by default; and step 4, outputting a processing result. After parallel optimization is carried out, when the number of sampling points is large, the efficiency of the method is much higher than that of original cyclic FFT carried out in the distance dimension: 1) for an original signal SN * M, when MTD processing is carried out, Nlt is generally carried out; lt; m, when FFT is carried out at the moment, the improvement of the efficiency is very small compared with that of DFT; and 2) DFT is carried out according to the method, because vector operation with high degree of parallelism is carried out in a distance dimension, the efficiency is obviously higher than that of serial circulation, and the two algorithms are used for comparing complex multiplication times under the condition of different M values when N is equal to 32.
Description
technical field [0001] The invention relates to the field of radar information processing, in particular to an efficient MTD parallel processing method. Background technique [0002] With the increasing complexity of radar combat scenarios, in order to more comprehensively detect the battlefield situation and better distance resolution, the data rate required by the radar is getting larger and larger; in addition, due to the increase of the radar detection range, the data sampling period increases; Combining the above two reasons, the amount of data that needs to be processed by the back-end signal processing platform has increased sharply; due to the large time resource consumption of the main computing unit (DFT) in the MTD algorithm, the increase in the amount of data has a particularly significant impact on its processing speed. ; If the processing method is not optimized, it will be difficult to save more CPU computing time resources for use by other advanced signal pro...
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IPC IPC(8): G01S7/41
CPCG01S7/418
Inventor 马理想李明
Owner 南京国睿防务系统有限公司