CN111597051A - Method for processing multichannel digital signals - Google Patents
Method for processing multichannel digital signals Download PDFInfo
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- CN111597051A CN111597051A CN202010436482.0A CN202010436482A CN111597051A CN 111597051 A CN111597051 A CN 111597051A CN 202010436482 A CN202010436482 A CN 202010436482A CN 111597051 A CN111597051 A CN 111597051A
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- 230000004927 fusion Effects 0.000 claims abstract description 14
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 230000001360 synchronised effect Effects 0.000 abstract description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- H—ELECTRICITY
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- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
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Abstract
The invention discloses a method for processing a multi-channel digital signal, which distributes independent data identifications for digital signals acquired by different channels by utilizing information source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit, independent signal processing models are configured for different data identifications, and all the signal processing models are operated simultaneously based on Hadoop to realize the processing of multi-channel digital signals. The invention adopts the method of data category identification and logic storage numbering to realize the fusion storage and flexible output of the multi-channel digital signal data; independent signal processing models are configured according to different data identifications, and all the signal processing models are simultaneously operated based on Hadoop, so that synchronous processing of multi-channel digital signals is realized, and the efficiency of multi-channel digital signal processing is greatly improved.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a method for processing a multichannel digital signal.
Background
With the development of computer technology, the computer technology is widely applied in the technical field of signal processing, when the existing computer processes digital signals, only signals of 1 channel can be processed in real time, when a plurality of signals exist in a frequency band, time-sharing processing is needed, the plurality of signals cannot be processed simultaneously, and the processing efficiency is low.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method for processing multi-channel digital signals, which realizes synchronous and efficient processing of multi-channel digital signals, thereby greatly improving the efficiency of multi-channel digital signal processing.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for processing multi-channel digital signals, which utilizes information source coding to distribute independent data marks for digital signals collected by different channels; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit, independent signal processing models are configured for different data identifications, and all the signal processing models are operated simultaneously based on Hadoop to realize the processing of multi-channel digital signals.
Further, the method comprises the following steps:
s1, acquiring digital signals based on the multi-channel data acquisition module;
s2, distributing independent data identifications for the digital signals acquired by different channels by using source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit; configuring independent signal processing models for different data identifications;
and S3, operating an independent signal processing model configured by each data identifier based on Hadoop to realize the processing of the multi-channel digital signal.
Further, in step S3, the processing of the multi-channel digital signal is implemented by simultaneously running all the independent signal processing models configured for each data identifier based on Hadoop.
Furthermore, the multichannel data acquisition module comprises a sensing unit, an anti-aliasing filter, a zero-crossing comparator, a coupled frequency multiplication delay phase-locked loop circuit, an A/D conversion circuit, a CPLD and a DSP controller, wherein the input end of the anti-aliasing filter is connected with the output end of the sensing unit; the input end of the zero-crossing comparator is connected with the output end of the anti-aliasing filter; the output end of the zero-crossing comparator is respectively connected with the input end of the coupled frequency multiplication delay phase-locked loop circuit and any one I/O input end of the CPLD; the output end of the coupled frequency multiplication delay phase-locked loop circuit is connected with the input end of the A/D conversion circuit, and the output end of the A/D conversion circuit is connected with other I/O input ends of the CPLD; and the I/O output end of the CPLD is connected with the input end of the DSP controller.
Further, the method also comprises the step of constructing a data fusion model for realizing the fusion between different data identifications and reference digital signals.
And further, realizing the fusion of the multi-channel digital signal data processed by the signal processing model based on the data fusion model.
Further, the method also comprises the step of constructing a template for realizing the data arrangement of the multi-channel digital signal processed by the signal processing model.
Further, the method also comprises the step of arranging the multichannel digital signal data processed by the signal processing model based on the template.
The invention has the following beneficial effects:
by adopting a method of data category identification and logical storage numbering, fusion storage and flexible output of multi-channel digital signal data are realized; independent signal processing models are configured according to different data identifications, and all the signal processing models are simultaneously operated based on Hadoop, so that synchronous processing of multi-channel digital signals is realized, and the efficiency of multi-channel digital signal processing is greatly improved.
Drawings
Fig. 1 is a flowchart of a method for processing a multi-channel digital signal according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a method for processing a multi-channel digital signal according to embodiment 2 of the present invention.
Fig. 3 is a flowchart of a method for processing a multi-channel digital signal according to embodiment 3 of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
As shown in fig. 1, a method of multi-channel digital signal processing includes the steps of:
s1, acquiring digital signals based on the multi-channel data acquisition module;
s2, distributing independent data identifications for the digital signals acquired by different channels by using source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit; configuring independent signal processing models for different data identifications;
and S3, simultaneously operating all signal processing models based on Hadoop to realize the processing of the multi-channel digital signal.
In this embodiment, the multichannel data acquisition module includes a sensing unit, an anti-aliasing filter, a zero-crossing comparator, a coupled frequency multiplication delay phase-locked loop circuit, an a/D conversion circuit, a CPLD, and a DSP controller, where an input end of the anti-aliasing filter is connected with an output end of the sensing unit; the input end of the zero-crossing comparator is connected with the output end of the anti-aliasing filter; the output end of the zero-crossing comparator is respectively connected with the input end of the coupled frequency multiplication delay phase-locked loop circuit and any one I/O input end of the CPLD; the output end of the coupled frequency multiplication delay phase-locked loop circuit is connected with the input end of the A/D conversion circuit, and the output end of the A/D conversion circuit is connected with other I/O input ends of the CPLD; and the I/O output end of the CPLD is connected with the input end of the DSP controller.
Example 2
As shown in fig. 2, a method of multi-channel digital signal processing includes the steps of:
s1, acquiring digital signals based on the multi-channel data acquisition module;
s2, distributing independent data identifications for the digital signals acquired by different channels by using source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit;
s3, configuring independent signal processing models for different data identifiers, and constructing a data fusion model for realizing fusion between different data identifier reference digital signals;
s4, simultaneously operating all signal processing models based on Hadoop to realize the processing of multi-channel digital signals;
and S5, realizing the fusion of the multi-channel digital signal data processed by the signal processing model based on the data fusion model.
In this embodiment, the multichannel data acquisition module includes a sensing unit, an anti-aliasing filter, a zero-crossing comparator, a coupled frequency multiplication delay phase-locked loop circuit, an a/D conversion circuit, a CPLD, and a DSP controller, where an input end of the anti-aliasing filter is connected with an output end of the sensing unit; the input end of the zero-crossing comparator is connected with the output end of the anti-aliasing filter; the output end of the zero-crossing comparator is respectively connected with the input end of the coupled frequency multiplication delay phase-locked loop circuit and any one I/O input end of the CPLD; the output end of the coupled frequency multiplication delay phase-locked loop circuit is connected with the input end of the A/D conversion circuit, and the output end of the A/D conversion circuit is connected with other I/O input ends of the CPLD; and the I/O output end of the CPLD is connected with the input end of the DSP controller.
Example 3
As shown in fig. 3, a method of multi-channel digital signal processing includes the steps of:
s1, acquiring digital signals based on the multi-channel data acquisition module;
s2, distributing independent data identifications for the digital signals acquired by different channels by using source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit;
s3, configuring independent signal processing models for different data identifications, and constructing a template for arranging multi-channel digital signal data processed by the signal processing models;
s4, simultaneously operating all signal processing models based on Hadoop to realize the processing of multi-channel digital signals;
and S5, arranging the multichannel digital signal data processed by the signal processing model based on the template.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. A method of multi-channel digital signal processing, characterized by: distributing independent data identifications for digital signals acquired by different channels by using information source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit, independent signal processing models are configured for different data identifications, and all the signal processing models are operated simultaneously based on Hadoop to realize the processing of multi-channel digital signals.
2. A method of multi-channel digital signal processing as claimed in claim 1, characterized by: the method comprises the following steps:
s1, acquiring digital signals based on the multi-channel data acquisition module;
s2, distributing independent data identifications for the digital signals acquired by different channels by using source coding; meanwhile, independent logic numbers are set for digital information acquired by different channels in the data storage unit; configuring independent signal processing models for different data identifications;
and S3, operating an independent signal processing model configured by each data identifier based on Hadoop to realize the processing of the multi-channel digital signal.
3. A method of multi-channel digital signal processing as claimed in claim 2, characterized by: in step S3, all the independent signal processing models configured for each data identifier are simultaneously operated based on Hadoop, so as to implement processing of the multi-channel digital signal.
4. A method of multi-channel digital signal processing as claimed in claim 2, characterized by: the multichannel data acquisition module comprises a sensing unit, an anti-aliasing filter, a zero-crossing comparator, a coupled frequency multiplication delay phase-locked loop circuit, an A/D conversion circuit, a CPLD and a DSP controller, wherein the input end of the anti-aliasing filter is connected with the output end of the sensing unit; the input end of the zero-crossing comparator is connected with the output end of the anti-aliasing filter; the output end of the zero-crossing comparator is respectively connected with the input end of the coupled frequency multiplication delay phase-locked loop circuit and any one I/O input end of the CPLD; the output end of the coupled frequency multiplication delay phase-locked loop circuit is connected with the input end of the A/D conversion circuit, and the output end of the A/D conversion circuit is connected with other I/O input ends of the CPLD; and the I/O output end of the CPLD is connected with the input end of the DSP controller.
5. A method of multi-channel digital signal processing as claimed in claim 1, characterized by: the method also comprises the step of constructing a data fusion model for realizing the fusion between different data identifications and reference digital signals.
6. A method of multi-channel digital signal processing as claimed in claim 5, characterized by: and realizing the fusion of the multi-channel digital signal data processed by the signal processing model based on the data fusion model.
7. A method of multi-channel digital signal processing as claimed in claim 1, characterized by: the method also comprises the step of constructing a template for realizing the data arrangement of the multi-channel digital signal processed by the signal processing model.
8. A method of multi-channel digital signal processing as claimed in claim 7, characterized by: the method also comprises the step of arranging the multichannel digital signal data processed by the signal processing model based on the template.
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2020
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