CN113904741A - Signal-to-noise ratio dynamic judgment method based on verification assistance - Google Patents
Signal-to-noise ratio dynamic judgment method based on verification assistance Download PDFInfo
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- CN113904741A CN113904741A CN202111173009.9A CN202111173009A CN113904741A CN 113904741 A CN113904741 A CN 113904741A CN 202111173009 A CN202111173009 A CN 202111173009A CN 113904741 A CN113904741 A CN 113904741A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012795 verification Methods 0.000 title claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims description 15
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000009432 framing Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 5
- 230000008054 signal transmission Effects 0.000 claims 1
- 230000000737 periodic effect Effects 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
Abstract
The invention discloses a signal-to-noise ratio strength dynamic judging method based on verification assistance, which is suitable for various communication systems with verification functions. The invention utilizes the data after decoding and de-checking to judge the signal-to-noise ratio, and has simple realization and high reliability; and dynamic updating of the strength of the signal-to-noise ratio is realized by utilizing periodic statistics.
Description
Technical Field
The invention belongs to the technical field of communication, and relates to a dynamic judgment method for the strength of a signal-to-noise ratio, in particular to a dynamic judgment method for the strength of the signal-to-noise ratio under the condition of verification assistance.
Background
In a communication system, the signal-to-noise ratio can reflect the power of a useful signal, and directly determines the quality of communication. The application of the signal-to-noise ratio estimation technology in the receiving equipment can enable a user to grasp the current communication quality condition in real time, avoid communication under the condition of poor communication quality, ensure the success rate of communication, reduce the transmitting power in real time when the signal-to-noise ratio is too strong, and reduce the interference to other communication equipment of adjacent frequency bands. Therefore, the research and the application of the signal-to-noise ratio estimation technology have high practical value.
The currently applied signal-to-noise ratio estimation methods mainly include: the method comprises the steps of maximum likelihood estimation, second-order fourth-order moment estimation, high-order cumulant estimation, minimum mean square error estimation signal-to-noise ratio estimation algorithm and the like, wherein the methods are generally placed before decoding, and operation is performed by using multi-bit quantized soft information, so that on one hand, the operation amount is large, the calculation is complex, on the other hand, the signal-to-noise ratio estimation precision is greatly influenced by a synchronous error, and when the synchronous error is large, the signal-to-noise ratio estimation becomes unreliable.
Disclosure of Invention
Objects of the invention
The purpose of the invention is: the signal-to-noise ratio strength dynamic judgment method based on the verification assistance is provided, the operation amount is reduced, the calculation complexity is reduced, and the high-reliability signal-to-noise ratio is realized.
(II) technical scheme
In order to solve the technical problems, the invention provides a signal-to-noise ratio strength dynamic judgment method based on verification assistance, which is suitable for various communication systems with verification functions.
The signal-to-noise ratio strength dynamic judgment method based on verification assistance in the embodiment comprises the following execution steps:
the method comprises the following steps: the sending end carries out framing, coding, modulation and D/A conversion on the original information and sends the original information;
step two: the receiving end receives the signal and carries out demodulation and decoding processing;
step three: frame header detection and counting the correct times of detection, wherein the counted times are recorded as N;
step four: performing de-checking on the data frame with correct frame header detection, and counting the number of times of correct checking, and recording as M;
step five: when N is equal to a set statistical threshold, calculating a time proportion K for correct verification;
step six: setting a signal-to-noise ratio high threshold and a signal-to-noise ratio low threshold, and comparing the signal-to-noise ratio high threshold and the signal-to-noise ratio low threshold with K respectively to determine to output a high signal-to-noise ratio, a low signal-to-noise ratio or a medium signal-to-noise ratio;
step seven: and periodically and repeatedly executing the first step to the sixth step to realize dynamic updating of the signal-to-noise ratio strength indication.
In the first step, the framing format includes a frame header, an information bit, and an information bit checksum, see fig. 1; and when the signals after D/A conversion are transmitted, up-conversion transmission is adopted.
In the second step, the receiving end firstly performs down-conversion processing after receiving the signal.
In the third step, the receiving end carries out frame head detection on the decoded data frame and counts the times of correct frame head detection.
In the fourth step, M is less than or equal to N.
In the fifth step, a statistical threshold N is setthCalculating the correct time ratio K, K being M/Nth。
Step six, setting a signal-to-noise ratio high threshold THSum signal-to-noise ratio low threshold TL，THAnd TLSatisfies the following conditions: 1 is more than or equal to TH＞TL＞0。
Mixing K with THAnd TLAnd (3) comparison:
if K is greater than or equal to THWhen the signal-to-noise ratio of the received signal is stronger, outputting a high signal-to-noise ratio indication;
if K is less than TLOutputting a low signal-to-noise ratio indication when the signal-to-noise ratio of the received signal is weak;
if TL≤K＜THAnd the signal-to-noise ratio of the received signal is medium, and an indication of the medium signal-to-noise ratio is output.
(III) advantageous effects
The signal-to-noise ratio strength dynamic judgment method based on verification assistance provided by the technical scheme utilizes data after decoding and de-verification to judge the signal-to-noise ratio, and is simple to realize and high in reliability; and dynamic updating of the strength of the signal-to-noise ratio is realized by utilizing periodic statistics.
Drawings
Fig. 1 is a diagram illustrating a frame format of a transmitting end according to the present invention.
Fig. 2 is a schematic diagram of the snr strength determination process according to the present invention.
Detailed Description
In order to make the objects, contents and advantages of the present invention clearer, the following detailed description of the embodiments of the present invention will be made in conjunction with the accompanying drawings and examples.
The invention provides a signal-to-noise ratio strength dynamic judging method based on verification assistance, which is suitable for various communication systems with verification functions.
Referring to fig. 2, the method for dynamically determining the signal-to-noise ratio strength based on verification assistance in the present embodiment includes the following steps:
the method comprises the following steps: the sending end carries out framing, coding, modulation and D/A conversion on the original information and sends the original information;
step two: the receiving end receives the signal and carries out demodulation and decoding processing;
step three: frame header detection and counting the correct times of detection, wherein the counted times are recorded as N;
step four: performing de-checking on the data frame with correct frame header detection, and counting the number of times of correct checking, and recording as M;
step five: when N is equal to a set statistical threshold, calculating a time proportion K for correct verification;
step six: setting a signal-to-noise ratio high threshold and a signal-to-noise ratio low threshold, and comparing the signal-to-noise ratio high threshold and the signal-to-noise ratio low threshold with K respectively to determine to output a high signal-to-noise ratio, a low signal-to-noise ratio or a medium signal-to-noise ratio;
step seven: and periodically and repeatedly executing the first step to the sixth step to realize dynamic updating of the signal-to-noise ratio strength indication.
In the first step, the framing format includes a frame header, an information bit, and an information bit checksum, see fig. 1; and when the signals after D/A conversion are transmitted, up-conversion transmission is adopted.
In the second step, the receiving end firstly performs down-conversion processing after receiving the signal.
In the third step, the receiving end carries out frame head detection on the decoded data frame and counts the times of correct frame head detection.
In the fourth step, M is less than or equal to N.
In the fifth step, a statistical threshold N is setthCalculating the correct time ratio K, K being M/Nth。
Step six, setting a signal-to-noise ratio high threshold THSum signal-to-noise ratio low threshold TL，THAnd TLSatisfies the following conditions: 1 is more than or equal to TH＞TL＞0。
Mixing K with THAnd TLAnd (3) comparison:
if K is greater than or equal to THWhen the signal-to-noise ratio of the received signal is stronger, outputting a high signal-to-noise ratio indication;
if K is less than TLOutputting a low signal-to-noise ratio indication when the signal-to-noise ratio of the received signal is weak;
if TL≤K＜THAnd the signal-to-noise ratio of the received signal is medium, and an indication of the medium signal-to-noise ratio is output.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A signal-to-noise ratio strength dynamic judging method based on check assistance is characterized in that the method is suitable for various communication systems with check functions.
2. The dynamic decision method for signal-to-noise ratio based on verification assistance as claimed in claim 1, wherein the dynamic decision method comprises the following steps:
the method comprises the following steps: the sending end carries out framing, coding, modulation and D/A conversion on the original information and sends the original information;
step two: the receiving end receives the signal and carries out demodulation and decoding processing;
step three: frame header detection and counting the correct times of detection, wherein the counted times are recorded as N;
step four: performing de-checking on the data frame with correct frame header detection, and counting the number of times of correct checking, and recording as M;
step five: when N is equal to a set statistical threshold, calculating a time proportion K for correct verification;
step six: and setting a signal-to-noise ratio high threshold and a signal-to-noise ratio low threshold, and comparing the signal-to-noise ratio high threshold and the signal-to-noise ratio low threshold with K respectively to determine to output a high signal-to-noise ratio, a low signal-to-noise ratio or a medium signal-to-noise ratio.
3. The verification-aided signal-to-noise ratio strong and weak dynamic decision method as claimed in claim 2, wherein the dynamic decision method further comprises:
step seven: and periodically and repeatedly executing the first step to the sixth step to realize dynamic updating of the signal-to-noise ratio strength indication.
4. The method as claimed in claim 3, wherein in the first step, the framing format includes a frame header, information bits, and a checksum of the information bits.
5. The method as claimed in claim 4, wherein in the first step, the up-conversion is used for signal transmission after D/A conversion.
6. The method as claimed in claim 5, wherein in step two, the down-conversion process is performed after the receiving end receives the signal.
7. The method according to claim 6, wherein in step three, the receiving end performs frame header detection on the decoded data frame and counts the number of times that the frame header detection is correct.
8. The method as claimed in claim 7, wherein M is less than N in step four.
9. The method as claimed in claim 8, wherein in step five, a statistical threshold N is setthCalculating the correct time ratio K, K being M/Nth。
10. The method as claimed in claim 9, wherein in step six, the snr robust dynamic decision method is set to set the snr high threshold THSum signal-to-noise ratio low threshold TL，THAnd TLSatisfies the following conditions: 1 is more than or equal to TH＞TL＞0；
Mixing K with THAnd TLAnd (3) comparison:
if K is greater than or equal to THWhen the signal-to-noise ratio of the received signal is stronger, outputting a high signal-to-noise ratio indication;
if K is less than TLOutputting a low signal-to-noise ratio indication when the signal-to-noise ratio of the received signal is weak;
if TL≤K＜THAnd the signal-to-noise ratio of the received signal is medium, and an indication of the medium signal-to-noise ratio is output.
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| CN114650217A (en) * | 2022-05-19 | 2022-06-21 | 长沙竹叶电子科技有限公司 | Serial port received data processing method, device, equipment and medium |
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