CN109270520B - Processing method for acquiring secondary radar response target identity code based on amplitude information - Google Patents
Processing method for acquiring secondary radar response target identity code based on amplitude information Download PDFInfo
- Publication number
- CN109270520B CN109270520B CN201811213946.0A CN201811213946A CN109270520B CN 109270520 B CN109270520 B CN 109270520B CN 201811213946 A CN201811213946 A CN 201811213946A CN 109270520 B CN109270520 B CN 109270520B
- Authority
- CN
- China
- Prior art keywords
- code
- response
- value
- decoding
- bit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
- G01S13/75—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems using transponders powered from received waves, e.g. using passive transponders, or using passive reflectors
- G01S13/751—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems using transponders powered from received waves, e.g. using passive transponders, or using passive reflectors wherein the responder or reflector radiates a coded signal
- G01S13/758—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems using transponders powered from received waves, e.g. using passive transponders, or using passive reflectors wherein the responder or reflector radiates a coded signal using a signal generator powered by the interrogation signal
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention relates to the technical field of traffic control, and discloses a processing method for acquiring secondary radar response target identity codes based on amplitude information. The method comprises the following steps: receiving flight target response decoding data collected by a decoding component in real time; calculating a 1-code confidence coefficient and a 0-code confidence coefficient of each code bit according to the code bits and the channel amplitude values of the response decoding data, performing distance correlation and azimuth correlation on the multiple times of response decoding data, and recording the successfully correlated response decoding data; after the flight target is inquired in the current wave beam, extracting corresponding response decoding data in the flight target wave beam, and calculating the value of 1 code and 0 code for the code value of each code bit, the confidence of 1 code, the confidence of 0 code, the synchronous crosstalk decoding identifier of the response frame and the synchronous crosstalk identifier information of the code bit; and if the scores of the identity code bits are the same, the code value is taken for a plurality of times, and the confidence coefficient of the corresponding code bit is obtained according to the scores of the 1 code and the 0 code. The scheme improves the identification accuracy of the identity codes.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to a processing method for acquiring secondary radar response target identity codes based on amplitude information.
Background
With the rapid increase of aviation flow, the military/civil aviation air traffic control system has higher and higher requirements on the detection accuracy rate of the target identity code. Especially in the dense flight areas such as airports, important air routes, military training areas and the like, the military/civil aviation air traffic control system is subject to the tests of heavy tasks, high information accuracy rate and the like, so that the maximum working efficiency of the radar needs to be exerted, and a basis is provided for aviation control command and aviation strategic decision.
In a traditional military/civil aviation air traffic control system, a response frame is completely detected by a decoding component when a response target identity code is obtained, the numerical value of each code bit is extracted and reported to a data processing module, and the data processing module takes the code value with the same code value and the most times as the response target identity code. The conventional method has the following disadvantages.
(1) In a traditional military/civil aviation air traffic control system, a flight target identity code is completely detected by a decoding component, a data processing module acquires the identity code sent by the decoding component, and a final response target identity code is obtained through simple processing. The accuracy of the identity code generated by the method completely depends on the decoding component, the decoding component is flexible and poor in debugging, the data processing module bears few data processing tasks, and the advantages of the data processing module cannot be well exerted.
(2) In the traditional military/civil aviation air traffic control system, the flight target identity code is detected out of the response frame by the decoding component, the code value of each code bit of the identity code is extracted and uploaded to the data processing module, and the data processing module counts the identity codes with the same code and the most times to serve as the final response target identity code. The accuracy of the identity code generated by the method completely depends on the decoding component, the error code rate of the target identity code is high under the condition of multi-target confusion, but the amount of information provided by the decoding component is less, so that the data processing module cannot correct the code, and the identity recognition performance of the military/civil aviation air traffic control system is seriously influenced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method aims at the phenomenon that the error code rate of the target identity code is high under the conditions that the labor division of a decoding component and a data processing module is unreasonable and multiple targets are mixed up in a military/civil aviation air traffic control system. A processing method for acquiring secondary radar response target identity codes based on amplitude information is provided.
The technical scheme adopted by the invention is as follows: the processing method for acquiring the identity code of the secondary radar response target based on the amplitude information specifically comprises the following steps:
and 4, step 4: the identity code bit takes the larger value of the 1 code and the 0 code, if the scores are the same, the code value is taken for a plurality of times, and meanwhile, the confidence coefficient of the corresponding code bit is obtained according to the scores of the 1 code and the 0 code.
Further, the specific process of step 1 is as follows:
step 11: judging whether response decoding data exist or not according to the real-time inquiry response condition;
step 12: and judging the effectiveness of the response decoding data, and acquiring the distance, the direction, the code value of the code bit, the code bit and channel amplitude value, a response frame synchronous crosstalk decoding identifier and code bit synchronous crosstalk identification information.
Further, the specific process of step 2 is as follows:
step 21: distinguishing a code bit 1 from a code bit 0 of each time of response decoding data, respectively eliminating channel amplitude values of the code 1 and the code 0, then calculating an average value, marking high and low confidence coefficients of the code 1 by combining the characteristics of a receiver, and marking the high and low confidence coefficients of the code 0 according to the response noise intensity;
step 22: the distance and the direction correlation is carried out on the response decoding data, if the response is successful, the code value, the 1 code confidence coefficient, the 0 code confidence coefficient, the response frame synchronous crosstalk decoding identification, the code bit synchronous crosstalk identification, the distance and the direction information of each response decoding data are recorded and stored, and the related response times are counted; if the correlation is not successful, the target response data point is newly established and the next target correlation is waited.
Further, the specific process of step 3 is as follows:
step 31: after the current beam response is finished, extracting code values, 1 code confidence degrees, 0 code confidence degrees, response frame synchronous crosstalk decoding identifications, code bit synchronous crosstalk identifications and total correlation time information in multi-response decoding data by the flight target;
step 32: according to the synchronous crosstalk identification of each response code bit, counting the number of times of synchronous crosstalk of all relevant response code bits;
step 33: code extraction processing is carried out on each code bit one by one, if the number of times of synchronous crosstalk of the code bits is 0, a 0 code value calculation method I or a 1 code value calculation method I is carried out according to 1 code or 0 code, the score calculation method 1 mainly carries out a scoring mechanism by 0/1 code value, response frame synchronous crosstalk decoding identification, 1 code confidence coefficient and 0 code confidence coefficient, different combinations correspond to different scores, score setting is determined by combining inquiry and response characteristics of a system, and finally the 1 code score and the 0 code score are compared;
step 34: if the number of times of synchronous crosstalk of the code bit is more than 0, respectively carrying out a 0 code value calculation method II and a 1 code value calculation method II according to 1 code or 0 code, wherein the score calculation method II mainly carries out a scoring mechanism by using a 0/1 code value, a response frame synchronous crosstalk decoding identifier, a code bit synchronous crosstalk identifier, a 1 code confidence coefficient and a 0 code confidence coefficient, different combinations correspond to different scores, the score setting is determined by combining the inquiry and response characteristics of a system, and finally the scores of the 1 code and the 0 code are compared.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows:
(1) the invention is a brand new processing method for acquiring the identity code of the secondary radar response target based on the amplitude information, and the data processing and distribution are reasonable. The decoding assembly is responsible for collecting information, and the data processing module is responsible for comprehensively processing the information, so that the decoding assembly and the data processing module work cooperatively, and the advantages of the data processing module are exerted to the greatest extent.
(2) The invention relates to a brand new processing method for acquiring secondary radar response target identity codes based on amplitude information, which comprises the steps of converting each code bit and channel amplitude provided by a decoding component into a 1-code confidence coefficient and a 0-code confidence coefficient corresponding to each code bit, then integrating information such as a code value of response code bits of a target for multiple times, a synchronous crosstalk decoding identifier of a response frame, a synchronous crosstalk identifier of the code bits, a confidence coefficient and the like, and judging and processing 12 code bits of ABCD one by one according to a certain rule to obtain a final identity code. The process gets rid of the fact that the identity code value provided by the decoding component is completely relied, and a plurality of information such as the amplitude and the response frame extraction identification are synthesized, so that the process has a certain code correction function, the accuracy of the target code is obviously improved, and particularly under the condition of target confusion. And the identity recognition performance of the military/civil aviation air traffic control system is improved, and important basis is provided for aviation control command and aviation strategy decision.
Drawings
FIG. 1 is a processing method for acquiring secondary radar response target identity codes based on amplitude information.
FIG. 2 is a schematic diagram of the preprocessing process of the decoded data of the original response in step 3 of the present invention.
FIG. 3 is a schematic process flow diagram of the new code extraction method in step 3 of the present invention.
FIG. 4 is a flowchart of the design of the method 1 for calculating the value of 0 code in step 3 according to the present invention.
FIG. 5 is a flow chart of the design of the 1-code value calculating method 1 in step 3 of the present invention.
FIG. 6 is a flowchart of the design of the 0 code division value calculating method 2 in step 3 of the present invention.
FIG. 7 is a flow chart of the design of the 1-code value calculation method 2 in step 3 of the present invention.
FIG. 8 is a graph comparing a large number of statistics with the statistics of the conventional method under the ideal case of no interleaving.
FIG. 9 is a comparison graph of a number of statistical results using the method of the present invention versus those of the conventional method in the case of object confusion.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1
As shown in fig. 1: a processing method for acquiring secondary radar response target identity codes based on amplitude information specifically comprises the following steps:
and step 3, processing by a code extraction method: after the flight target is inquired in the current wave beam, extracting corresponding response decoding data in the flight target wave beam, and calculating the value of 1 code and 0 code for the code value of each code bit, the confidence of 1 code, the confidence of 0 code, the synchronous crosstalk decoding identifier of the response frame and the synchronous crosstalk identifier information of the code bit;
step 4, reporting the flight object code: the identity code bit takes the larger value of the 1 code and the 0 code, if the scores are the same, the code value is taken for a plurality of times, and meanwhile, the confidence coefficient of the corresponding code bit is obtained according to the scores of the 1 code and the 0 code.
Example 2
The specific process of step 1 in example 1 is:
step 11: judging whether response decoding data exist or not according to the real-time inquiry response condition;
step 12: and judging the effectiveness of the response decoding data, and acquiring the distance, the direction, the code value of the code bit, the code bit and channel amplitude value, a response frame synchronous crosstalk decoding identifier and code bit synchronous crosstalk identification information.
Example 3
As shown in fig. 2, the specific process of step 2 in example 1 is:
step 21: distinguishing a code bit 1 from a code bit 0 of each time of response decoding data, respectively eliminating channel amplitude values of the code 1 and the code 0, then calculating an average value, marking high and low confidence coefficients of the code 1 by combining the characteristics of a receiver, and marking the high and low confidence coefficients of the code 0 according to the response noise intensity;
step 22: the distance and the direction correlation is carried out on the response decoding data, if the response is successful, the code value, the 1 code confidence coefficient, the 0 code confidence coefficient, the response frame synchronous crosstalk decoding identification, the code bit synchronous crosstalk identification, the distance and the direction information of each response decoding data are recorded and stored, and the related response times are counted; if the correlation is not successful, the target response data point is newly established and the next target correlation is waited.
Example 4
As shown in fig. 3, the specific process of step 3 in example 1 is:
step 31: after the current beam response is finished, extracting code values, 1 code confidence degrees, 0 code confidence degrees, response frame synchronous crosstalk decoding identifications, code bit synchronous crosstalk identifications and total correlation time information in multi-response decoding data by the flight target;
step 32: according to the synchronous crosstalk identification of each response code bit, counting the number of times of synchronous crosstalk of all relevant response code bits;
step 33: code extraction processing is carried out on each code bit one by one, if the number of times of synchronous crosstalk of the code bits is 0, a 0 code value calculation method I1 or a 1 code value calculation method I1 is respectively carried out according to 1 code or 0 code, the score calculation method 1 mainly carries out a scoring mechanism by 0/1 code value, a response frame synchronous crosstalk decoding identifier, 1 code confidence coefficient and 0 code confidence coefficient, different combinations correspond to different scores, score setting is determined by combining inquiry and response characteristics of a system, and finally the 1 code score and the 0 code score are compared; this case is mainly directed to the extraction process of the reply target identity code in an ideal environment.
Step 34: if the number of times of synchronous crosstalk of the code bit is more than 0, respectively carrying out a 0 code value calculation method II 2 and a 1 code value calculation method II 2 according to 1 code or 0 code, wherein the score calculation method II mainly carries out a scoring mechanism by 0/1 code value, a response frame synchronous crosstalk decoding identifier, a code bit synchronous crosstalk identifier, a 1 code confidence coefficient and a 0 code confidence coefficient, different combinations correspond to different scores, score setting is determined by combining inquiry and response characteristics of a system, and finally the 1 code score and the 0 code score are compared. This situation is mainly directed to the extraction process of the reply target identity code in the case of multi-target confusion.
Score extraction processing:
(A)
As shown in fig. 4:
when the code bit value is 0, under the conditions of no decoding synchronous crosstalk mark, high confidence coefficient of 0 code and low confidence coefficient of 1 code, a 0 code division value 1 is assigned, the reliability of the 0 code of the response is high, and the value of the 0 code division value 1 is high.
When the code value of the code is 0, a 0 code division value 2 is assigned under the conditions of no decoding synchronous crosstalk identification, low confidence coefficient of the 0 code and low confidence coefficient of the 1 code, the reliability of the 0 code of the response is not high, and the value of the 0 code division value 2 is lower than the value of the 0 code division value 1.
When the code value of the code is 0, the code value of 0 is assigned to 3 under the condition of no other combination of the decoding synchronous crosstalk identification, the confidence coefficient of 0 and the confidence coefficient of 1, the reliability of the 0 code of the response is very low, and the value of the 3 code of 0 is lower than the value of the 2 code of 0.
(II)
As shown in fig. 5:
when the code value of the code is 1, under the conditions of no decoding synchronous crosstalk identification, high confidence of the 1 code and low confidence of the 0 code, the value of the 1 code is assigned to be 1, the reliability of the 1 code responded at this time is high, and the value of the 1 code is higher.
When the code value of the code is 1, under the conditions of no decoding synchronous crosstalk identification, 1 code low confidence coefficient and 0 code low confidence coefficient, giving 1 code value 2, wherein the reliability of the 1 code responded at this time is not high, and the value of the 1 code value 2 is lower than the value of 1 code value 1.
When the code value of the code is 1, under the condition that other combinations of the decoding synchronous crosstalk identification, the code confidence coefficient of 0 and the code confidence coefficient of 1 are not available, the code value of 1 is assigned with the code value of 3, the reliability of the code 1 responded at this time is very low, and the value of the score value of 1 of 3 is lower than the value of the score value of 1 of 2.
(III)
As shown in fig. 6:
when the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 0 has high confidence level and the code 1 has low confidence level, the code 0 is assigned with a code value of 4, the reliability of the code 0 of the response is relatively high, and the value of the code 0 score of 4 is obviously lower than the value of the code 0 score of 12.
When the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 0 has a low confidence level and the code 1 has a low confidence level, the response is given with a code 0 value 5 and is given with a code 1 value 4, the reliability of the code 0 of the response is slightly low, the code correction processing is needed, the value of the code 0 value 5 is slightly lower than the value of the code 0 value 4, and the value of the code 1 value 4 is slightly lower than the value of the code 0 value 5.
When the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 0 has low confidence and the code 1 has high confidence, the code 0 is assigned with a code value of 6, and the code 1 is assigned with a code value of 5, the reliability of the code 0 of the response is low, the code correction is needed, the value of the code 0 of 6 is slightly lower than the value of the code 0 of 5, and the value of the code 1 of 5 is equal to the value of the code 0 of 6.
When the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 0 has a high confidence level, and the code 1 has a high confidence level, the response is assigned with a code 0 value 7, and the response is assigned with a code 1 value 6, the reliability of the code 0 of the response is very low, the code correction processing is needed, the value of the code 0 value 7 is slightly lower than that of the code 0 value 6, and the value of the code 1 value 6 is slightly higher than that of the code 0 value 7.
When the response has a decoding synchronous crosstalk mark, the code bit has no synchronous crosstalk mark, the code 0 has high confidence level and the code 1 has low confidence level, the code 0 is assigned with the code 0 value 8, the code 0 of the response has high reliability, and the value of the code 0 value 8 is obviously higher than the value of the code 0 value 4.
When the response has a decoding synchronous crosstalk mark, the code bit has no synchronous crosstalk mark, the code 0 has low confidence level, and the code 1 has low confidence level, the code 0 is assigned with a code division value 9, and the code 1 is assigned with a code division value 7, so that the reliability of the code 0 of the response is low, the code correction is needed, the value of the code 0 of the response 9 is slightly lower than the value of the code 0 of the response 8, and the value of the code 1 of the response 7 is slightly lower than the value of the code 0 of the response 9.
When the response has a decoding synchronous crosstalk mark, the code bit has no synchronous crosstalk mark, the code 0 has low confidence and the code 1 has high confidence, the code 0 is assigned with a code value of 10, and the code 1 is assigned with a code value of 8, the reliability of the code 0 of the response is low, the code correction is needed, the value of the code 0 of 10 is slightly lower than the value of the code 0 of 9, and the value of the code 1 of 8 is equal to the value of the code 0 of 10.
When the response has a decoding synchronous crosstalk mark, the code position has no synchronous crosstalk mark, the code 0 has high confidence level, and the code 1 has high confidence level, the code 0 is assigned with a code value 11, and the code 1 has a code value 9, the reliability of the code 0 of the response is very low, the code correction is needed, the value of the code 0 is slightly lower than the value of the code 0, the value of the code 1 is slightly higher than the value of the code 0, and the value of the code 9 is.
When the response has no decoding synchronous crosstalk identification, high confidence of 0 code and low confidence of 1 code, assigning a 0 code value 12, wherein the reliability of the 0 code of the response is high, and the value of the 0 code value 12 is obviously greater than the value of 0 code value 8.
When the response has no decoding synchronous crosstalk identification, low confidence coefficient of 0 code and low confidence coefficient of 1 code, assigning a 0 code value 13 and assigning a 1 code value 10, wherein the reliability of the 0 code of the response is low, the code correction processing is required, the value of the 0 code value 13 is slightly lower than the value of the 0 code value 12, and the value of the 1 code value 10 is slightly lower than the value of the 0 code value 13.
When the response has no decoding synchronous crosstalk identification, low confidence coefficient of 0 code and high confidence coefficient of 1 code, assigning a 0 code value 14 and assigning a 1 code value 11 at the same time, wherein the reliability of the 0 code of the response is low, code correction processing is required, the value of the 0 code value 14 is slightly lower than the value of the 0 code value 13, and the value of the 1 code value 11 is equal to the value of the 0 code value 14.
When the response has no decoding synchronous crosstalk mark, high confidence level of 0 code and high confidence level of 1 code, assigning 15 code value of 0 code and assigning 12 code value of 1 code simultaneously, wherein the reliability of 0 code of the response is very low, and the code correction processing is needed, the value of 15 code value of 0 code is slightly lower than the value of 14 code value of 0 code, and the value of 12 code value of 1 code is slightly higher than the value of 15 code value of 0 code.
(IV)
As shown in fig. 7:
when the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the 1 code has high confidence level and the 0 code has low confidence level, the 1 code score 13 is assigned, the 1 code reliability of the response is relatively high, and the value of the 1 code score 13 is obviously lower than the value of the 1 code score 21.
Step 2: when the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 1 has a low confidence level, and the code 0 has a low confidence level, the response is given with a code 1 value of 14, and the response is given with a code 0 value of 16, the reliability of the code 1 of the response is slightly low, the code correction processing is required, the value of the code 1 value of 14 is slightly lower than the value of the code 1 value of 13, and the value of the code 0 value of 16 is slightly lower than the value of the code 1 value of 14.
And step 3: when the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 1 has low confidence and the code 0 has high confidence, a code 01 value 15 is assigned, and a code 0 value 17 is assigned, the code 1 reliability of the response is low, the code correction processing is needed, the value of the code 1 value 15 is slightly lower than the value of the code 1 value 14, and the value of the code 0 value 17 is equal to the value of the code 1 value 15.
And 4, step 4: when the response has a decoding synchronous crosstalk mark, the code position has a synchronous crosstalk mark, the code 1 has a high confidence level and the code 0 has a high confidence level, the code 1 is assigned with a value 16, and the code 0 is assigned with a value 18, so that the reliability of the code 1 of the response is very low, the code correction is needed, the value of the code 1 is slightly lower than the value of the code 1, namely the value 15, and the value of the code 0 is slightly higher than the value of the code 1, namely the value 18.
And 5: when the response has a decoding synchronous crosstalk mark, the code bit has no synchronous crosstalk mark, the 1 code has high confidence level, and the 0 code has low confidence level, the 1 code is assigned with a value of 17, the 1 code of the response has high reliability, and the value of the 1 code value of 17 is obviously higher than the value of the 1 code value of 13.
Step 6: when the response has a decoding synchronous crosstalk mark, the code bit has no synchronous crosstalk mark, the code 1 has low confidence level, and the code 0 has low confidence level, the code 1 is assigned with a code value of 18, and the code 0 is assigned with a code value of 19, so that the reliability of the code 1 of the response is slightly low, the code correction processing is required, the value of the code 1 of the code value of 18 is slightly lower than the value of the code 1 of 17, and the value of the code 0 of 19 is slightly lower than the value of the code 1 of 18.
And 7: when the response has a decoding synchronous crosstalk mark, the code position has no synchronous crosstalk mark, the code 1 has low confidence level and the code 0 has high confidence level, the code 1 is assigned with a code value of 19, and the code 0 is assigned with a code value of 20, the reliability of the code 1 of the response is low, the code correction is needed, the value of the code 1 of the code 19 is slightly lower than the value of the code 1 of the code 18, and the value of the code 0 of the code 20 is equal to the value of the code 1 of the code 19.
And 8: when the response has a decoding synchronous crosstalk mark, the code position has no synchronous crosstalk mark, the code 1 has high confidence level and the code 0 has high confidence level, the code 1 is assigned with a value of 20, and the code 0 is assigned with a value of 21 at the same time, the reliability of the code 1 of the response is very low, the code correction is needed, the value of the code 1 of the response is slightly lower than the value of the code 1 of the response with a value of 19, and the value of the code 0 of the response with a value of 21 is slightly higher than the value of the code 1 of the response with a value of 20.
And step 9: when the response has no decoding synchronous crosstalk identification, 1 code has high confidence level and 0 code has low confidence level, a 1 code score 21 is assigned, the 1 code of the response has high reliability, and the numerical value of the 1 code score 21 is obviously greater than the numerical value of the 1 code score 17.
Step 10: when the response has no decoding synchronous crosstalk identification, low confidence of 1 code and low confidence of 0 code, assigning a 1 code value 22 and assigning a 1 code value 22 at the same time, wherein the reliability of 1 code of the response is slightly low, code correction processing is required, the value of 1 code value 22 is slightly lower than the value of 1 code value 21, and the value of 0 code value 22 is slightly lower than the value of 1 code value 22.
Step 11: when the response has no decoding synchronous crosstalk identification, 1 code has low confidence and 0 code has high confidence, the 1 code score is assigned 23, and the 0 code score is assigned 23 at the same time, the 1 code of the response has low reliability, code correction processing is needed, the numerical value of the 1 code score 23 is slightly lower than the numerical value of the 1 code score 22, and the numerical value of the 0 code score 23 is equal to the numerical value of the 1 code score 23.
Step 12: when the response has no decoding synchronous crosstalk mark, 1 code high confidence level and 0 code high confidence level, assigning 1 code value 24 and assigning 0 code value 24 at the same time, wherein the reliability of 1 code of the response is very low, code correction processing is required, the value of 1 code value 24 is slightly lower than the value of 1 code value 23, and the value of 0 code value 24 is slightly higher than the value of 1 code value 24.
Example 5
As shown in fig. 8 and 9, under the fine tuning of the decoding component in the secondary radar system, the method of the present invention is applied to collect a large amount of data and then perform statistics to obtain the result of accuracy of extracting the code, and as can be seen from fig. 8 and 9, under the ideal condition without interference, the accuracy of extracting the code is improved by 1.6%, and under the condition of multi-target confusion, the accuracy of extracting the code is improved by 69.23%.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed. Those skilled in the art to which the invention pertains will appreciate that insubstantial changes or modifications can be made without departing from the spirit of the invention as defined by the appended claims.
Claims (3)
1. The processing method for acquiring the identity code of the secondary radar response target based on the amplitude information is characterized by comprising the following steps:
step 1, receiving flight target response decoding data collected by a decoding component in real time;
step 2, calculating a 1-code confidence coefficient and a 0-code confidence coefficient of each code bit according to the code bits and the channel amplitude values of the response decoding data, performing distance correlation and azimuth correlation on the multiple times of response decoding data, and recording the response decoding data which is successfully correlated;
step 3, after the flight target is inquired in the current beam, extracting corresponding response decoding data in the flight target beam, and calculating the value of 1 code and 0 code for the code value of each code, the confidence of 1 code, the confidence of 0 code, the synchronous crosstalk decoding identifier of the response frame and the synchronous crosstalk identifier information of the code;
the specific process of the step 3 is as follows:
step 31: after the current beam response is finished, extracting code values, 1 code confidence degrees, 0 code confidence degrees, response frame synchronous crosstalk decoding identifications, code bit synchronous crosstalk identifications and total correlation time information in multi-response decoding data by the flight target;
step 32: according to the synchronous crosstalk identification of each response code bit, counting the number of times of synchronous crosstalk of all relevant response code bits;
step 33: code extraction processing is carried out on each code bit one by one, if the number of times of synchronous crosstalk of the code bits is 0, a 0 code value calculation method I or a 1 code value calculation method I is carried out according to 1 code or 0 code respectively, the score calculation method I mainly carries out a scoring mechanism by 0/1 code value, response frame synchronous crosstalk decoding identification, 1 code confidence coefficient and 0 code confidence coefficient, different combinations correspond to different scores, score setting is determined by combining inquiry and response characteristics of a system, and finally the 1 code score and the 0 code score are compared;
step 34: if the number of times of synchronous crosstalk of the code bit is more than 0, respectively carrying out a 0 code value calculation method II and a 1 code value calculation method II according to 1 code or 0 code, wherein the score calculation method II mainly carries out a scoring mechanism by using a 0/1 code value, a response frame synchronous crosstalk decoding identifier, a code bit synchronous crosstalk identifier, a 1 code confidence coefficient and a 0 code confidence coefficient, different combinations correspond to different scores, the score setting is determined by combining the inquiry and response characteristics of a system, and finally the scores of the 1 code and the 0 code are compared;
and 4, step 4: the identity code bit takes the larger value of the 1 code and the 0 code, if the scores are the same, the code value is taken for a plurality of times, and meanwhile, the confidence coefficient of the corresponding code bit is obtained according to the scores of the 1 code and the 0 code.
2. The processing method for obtaining secondary radar response target identity code based on amplitude information as claimed in claim 1, wherein the specific process of step 1 is as follows:
step 11: judging whether response decoding data exist or not according to the real-time inquiry response condition;
step 12: and judging the effectiveness of the response decoding data, and acquiring the distance, the direction, the code value of the code bit, the code bit and channel amplitude value, a response frame synchronous crosstalk decoding identifier and code bit synchronous crosstalk identification information.
3. The processing method for obtaining secondary radar response target identity code based on amplitude information as claimed in claim 2, wherein the specific process of the step 2 is as follows:
step 21: distinguishing a code bit 1 from a code bit 0 of each time of response decoding data, respectively eliminating channel amplitude values of the code 1 and the code 0, then calculating an average value, marking high and low confidence coefficients of the code 1 by combining the characteristics of a receiver, and marking the high and low confidence coefficients of the code 0 according to the response noise intensity;
step 22: the distance and the direction correlation is carried out on the response decoding data, if the response is successful, the code value, the 1 code confidence coefficient, the 0 code confidence coefficient, the response frame synchronous crosstalk decoding identification, the code bit synchronous crosstalk identification, the distance and the direction information of each response decoding data are recorded and stored, and the related response times are counted; if the correlation is not successful, the target response data point is newly established and the next target correlation is waited.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811213946.0A CN109270520B (en) | 2018-10-18 | 2018-10-18 | Processing method for acquiring secondary radar response target identity code based on amplitude information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811213946.0A CN109270520B (en) | 2018-10-18 | 2018-10-18 | Processing method for acquiring secondary radar response target identity code based on amplitude information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109270520A CN109270520A (en) | 2019-01-25 |
| CN109270520B true CN109270520B (en) | 2020-05-19 |
Family
ID=65192970
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811213946.0A Active CN109270520B (en) | 2018-10-18 | 2018-10-18 | Processing method for acquiring secondary radar response target identity code based on amplitude information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109270520B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110780291B (en) * | 2019-11-07 | 2021-07-06 | 四川九洲空管科技有限责任公司 | Processing method for removing reflection signals based on ground reflection model |
| CN113740881A (en) * | 2021-08-25 | 2021-12-03 | 四川九洲空管科技有限责任公司 | Method for reducing accidental injury probability for West system friend or foe identification system |
| CN115097411B (en) * | 2022-08-24 | 2022-11-15 | 四川九洲空管科技有限责任公司 | Method for extracting amplitude of response code bit based on adaptive sampling secondary radar |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298146A (en) * | 2011-05-18 | 2011-12-28 | 中国航空无线电电子研究所 | Method for decoding secondary radar signal |
| CN106796665A (en) * | 2014-07-24 | 2017-05-31 | X开发有限责任公司 | Method and system for generating instructions for a robotic system to perform a task |
| CN108318868A (en) * | 2017-12-11 | 2018-07-24 | 合肥戎科信息技术开发有限公司 | Radar tactical performance based on ADS-B data sources tests appraisal procedure |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7423590B2 (en) * | 1999-03-05 | 2008-09-09 | Era Systems Corporation | Method and apparatus for improving ADS-B security |
| CN1332218C (en) * | 2004-01-08 | 2007-08-15 | 电子科技大学 | Secondary radar response code extracting and confidence beaconing algorithm |
| US20140040154A1 (en) * | 2012-08-06 | 2014-02-06 | Steven C. Webb | Defamation Avoiding System and Process to Identify Pattern Crimes |
| CN204177961U (en) * | 2014-11-15 | 2015-02-25 | 安徽四创电子股份有限公司 | -kind based on the S mode secondary radar demoder of FPGA |
| CN105550636B (en) * | 2015-12-04 | 2019-03-01 | 中国电子科技集团公司第三研究所 | A kind of method and device of target type discrimination |
| CN106066477B (en) * | 2016-05-25 | 2018-11-20 | 四川润泽经伟信息技术有限公司 | Aviation secondary radar and aircraft identity identification system and discrimination method |
-
2018
- 2018-10-18 CN CN201811213946.0A patent/CN109270520B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298146A (en) * | 2011-05-18 | 2011-12-28 | 中国航空无线电电子研究所 | Method for decoding secondary radar signal |
| CN106796665A (en) * | 2014-07-24 | 2017-05-31 | X开发有限责任公司 | Method and system for generating instructions for a robotic system to perform a task |
| CN108318868A (en) * | 2017-12-11 | 2018-07-24 | 合肥戎科信息技术开发有限公司 | Radar tactical performance based on ADS-B data sources tests appraisal procedure |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109270520A (en) | 2019-01-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109270520B (en) | Processing method for acquiring secondary radar response target identity code based on amplitude information | |
| CN111175719B (en) | BP neural network-based intelligent track initiation method | |
| CN107576942B (en) | Radiation source scanning period real-time estimation method based on signal clustering | |
| CN111832462B (en) | Frequency hopping signal detection and parameter estimation method based on deep neural network | |
| CN104931934A (en) | Radar plot clotting method based on PAM clustering analysis | |
| CN104064057A (en) | Method for implementing complementation and fusion of image tracking measurement data and radar measurement data | |
| CN112600644A (en) | Integrated anti-unmanned aerial vehicle system and method with white list and accurate striking | |
| CN103675610A (en) | Method for extracting characteristic factors in online local discharge detection | |
| CN105116394A (en) | Object trace point extraction method based on multi-dimensional fine characteristic analysis | |
| CN109640255B (en) | Position fingerprint indoor positioning system and method | |
| CN105044699A (en) | Radar plot centroid method based on Radon-Fourier transformation | |
| CN104253721A (en) | Data bit extracting method of mode S answering signal in ADS-B system | |
| CN113988119A (en) | Block probability distribution feature extraction method in multi-rotor unmanned aerial vehicle recognition | |
| CN114218978A (en) | Embedded lightweight millimeter wave radar target identification method | |
| KR101651541B1 (en) | A method of detecting Identification friend or foe signal based on sliding window | |
| CN112232636A (en) | Method for evaluating entrance efficiency based on terminal area instant control pressure | |
| CN110554368B (en) | Man-vehicle identification method based on four-dimensional information weight | |
| CN107589419A (en) | A kind of method of energy peak joint wideband Range Profile Objective extraction | |
| CN107153174B (en) | GJB661-89 standard beacon signal identification method | |
| KR101427149B1 (en) | A method of recognizing complex PRI modulation type of radar signals based on 2-layer SVM using exponential moving average | |
| CN107395540B (en) | Modulation signal identification method based on LMD approximate entropy, high accumulation product quantity and SVM | |
| KR20190083875A (en) | Method for analyzing pulse train of identification friend or foe signal and apparatus thereof | |
| CN109725307B (en) | Frame-cut secondary response data chain decoding method | |
| CN110426696B (en) | Pulse defect radar signal characteristic sequence searching method | |
| CN1332218C (en) | Secondary radar response code extracting and confidence beaconing algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |