CN110780291A - Processing method for removing reflection signals based on ground reflection model - Google Patents

Processing method for removing reflection signals based on ground reflection model Download PDF

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CN110780291A
CN110780291A CN201911081950.0A CN201911081950A CN110780291A CN 110780291 A CN110780291 A CN 110780291A CN 201911081950 A CN201911081950 A CN 201911081950A CN 110780291 A CN110780291 A CN 110780291A
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reflection
signal
response
secondary radar
response signal
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CN110780291B (en
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吴晓华
吴兵
李建秋
罗海
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Sichuan Jiuzhou ATC Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems 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
    • G01S13/74Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

Abstract

The invention relates to the field of secondary radar reflected signal removal, and discloses a method for processing a reflected signal based on a ground reflection model. The processing method for removing the reflected signals can effectively remove the ground reflected signals and improve the detection performance of the secondary radar; and the reflection model can be used for evaluating and selecting the erection site of the secondary radar, so that ground reflection is avoided.

Description

Processing method for removing reflection signals based on ground reflection model
Technical Field
The invention relates to the field of secondary radar reflection signal removal, in particular to a processing method for removing reflection signals based on a ground reflection model.
Background
With the rapid development of the low-altitude field and civil aviation, the air traffic becomes increasingly busy, and especially in the important flight-intensive areas such as the airway and the airport, how to accurately acquire the monitoring data is an important issue for air traffic control. The secondary radar is an important component of air traffic control, plays an irreplaceable role, and provides important data for safety, management and decision of air flight targets.
In a secondary radar monitoring system, various interference and multipath signals exist objectively, ground reflection is an important factor influencing the detection performance of the system, and due to reflection, a plurality of signal paths exist between the systems and tend to cause interference on real signals. When the signal is disturbed, the number and position of the response pulses and the real signal change, which causes decoding errors and the phenomenon of detecting multiple airplanes. In the existing secondary radar system, reflection interference brought by the ground is mainly removed by a mode of improving sensitivity time control. The sensitivity time control value used by the existing processing method mainly aims at most targets in the air, when the ground reflection signal exceeds the sensitivity time control value, the targets cannot be removed by using the sensitivity time control method, and the phenomenon of multiple targets can occur, thus bringing interference to air traffic monitoring and control. The ground reflection signals are effectively removed, and the method is very important for improving the detection performance of the secondary radar.
In order to fully exert the detection performance of the secondary radar, the position with higher terrain is selected as much as possible during the selection of the secondary radar site, so that the influence of the shielding of the ground objects on the secondary radar can be avoided. When the height of the secondary radar site is higher than the surrounding terrain, the response signal from the air forms a ground reflection signal on a lower plane. The secondary radar transmits information according to the existence of the pulse of the response signal, when the reflected signal and the direct signal of the target enter a receiving and processing system of the secondary radar at the same time, time delay exists, the reflected signal and the direct signal are possibly staggered and overlapped, the phenomena of target decoding errors and multiple target decoding phenomena are caused, error decoding and redundant target signals are effectively eliminated, and the detection performance of the secondary radar can be improved.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the existing problems, a processing method for removing the reflection signal based on the ground reflection model is provided; the method eliminates the phenomenon that the ground of the target is reflected by utilizing the characteristics of the reflection model and the reflection signal.
The technical scheme adopted by the invention is as follows: a processing method for removing reflection signals based on a ground reflection model comprises the following steps:
step 1: establishing a secondary radar reflection model by combining the geographical environment of a secondary radar erection site according to the phenomenon of a reflecting surface in the actual secondary radar engineering;
step 2: inspecting the environment around the secondary radar erection site, determining whether a reflecting surface exists, if so, measuring and calculating the altitude of the reflecting surface, and analyzing the characteristics of the reflecting surface by using a reflecting model;
and step 3: setting a corresponding sensitivity time control value according to the characteristics of the reflecting surface and the characteristics of a response signal of a response target and a secondary radar erection site, comparing the response signal with the sensitivity time control value, decoding the response signal which is greater than the sensitivity time control value, reporting and storing the decoded response signal, and directly eliminating the response signal which is less than the sensitivity time control value; extracting stored response signal decoding data, judging whether the response signal decoding data is a reflection signal, if so, rejecting, and if not, performing trace point agglomeration processing on the decoding data;
and 4, step 4: and after the reflection signals are eliminated, the response signals are subjected to trace point condensation processing, and the processed response signals are reported and stored.
Further, the specific process of step 1 includes:
step 11: measuring and calculating the altitude H1 of a reflecting plane existing around the secondary radar erection site;
step 12: calculating the altitude H3 of the secondary radar erection site, wherein the altitude comprises the height of the erection antenna;
step 13: acquiring the altitude H5 of the response target;
step 14: calculating the linear distance L1 between the response target and the secondary radar erection site;
step 15: obtaining the distance difference delta L between the real response signal and the reflected signal according to the geometric relation, wherein the calculation method is shown in a formula (1);
ΔL=[L1 2-(H5-H3) 2+(H5+H3-2H1) 2] 0.5-L1 (1)
step 16: obtaining the distance L5 between the reflection point and the station address according to the geometric relation, and the calculation method is shown in formula (2);
Figure BDA0002264251930000021
and step 17: and establishing a secondary radar reflection model through three-dimensional modeling according to the relation of the obtained data.
Further, the specific process of step 2 includes:
step 21: according to the geographical position of a secondary radar erection site, acquiring the altitude of the site;
step 22: measuring and calculating the antenna erection height according to the actual erection condition, wherein the height of the secondary radar station is the sum of the station altitude and the antenna erection height;
step 23: whether a reflecting surface lower than a station site exists around the station site erected by the secondary radar is inspected, and if the reflecting surface exists, the altitude of the reflecting surface is measured;
step 24: the characteristics of the reflected signal are analyzed and judged by utilizing the reflection model of the invention.
Further, the specific process of step 3 is as follows:
step 31: combining the characteristics of the reflected signals in the reflecting surface, adjusting the sensitivity time control value of the reflecting surface by analyzing the environmental characteristics of the secondary radar erection site and acquiring the strength of the response signals of the aerial target, decoding the response signals larger than the sensitivity time control value, reporting and storing the response signals, and directly eliminating the signals smaller than the sensitivity time control value;
step 32: and extracting information of the stored response signal decoding data, comparing the response signal decoding data effective in the same period, judging the reflection signal of the response signal decoding data effective in the same period according to the characteristics of the reflection signal, performing reflection removing processing on the response signal decoding data judged as the reflection signal, storing the response signal decoding data judged as the non-reflection signal in data first, and performing trace point aggregation processing.
Further, in step 32, the specific process of determining the reflected signal includes:
step 321: comparing the response signal decoding data with the response signal decoding data which is effective in the same period, if no effective response signal decoding data exists in the same period, judging the response signal decoding data as a non-reflection signal, and performing trace point condensation processing;
step 322: if valid answer signal decoding data exist in the same period, comparing the mode codes of the non-height answer targets, if the mode codes of the answer targets are different, judging the answer targets to be non-reflection signals, and performing trace point condensation processing on the non-reflection signals;
step 323: if the mode codes of the response targets are the same, calculating the distance difference between the real response signal and the reflected signal, if the distance difference is larger than the judgment distance threshold of the reflected signal, judging the response signals as non-reflected signals, and performing trace point agglomeration processing;
step 324: if the distance difference is smaller than the reflected signal judgment distance threshold, calculating the response signal intensity difference, if the response signal intensity difference is smaller than the reflected signal intensity difference threshold, judging the response signal as a non-reflected signal, and performing trace point condensation processing;
step 325: if the signal intensity difference is larger than the reflected signal intensity difference threshold, the reflected signal is judged to be the reflected signal, and the reflected signal is eliminated.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows:
1. by utilizing the reflection model, the ground reflection condition of the existing position is evaluated, the sensitivity time control value of the reflection area is improved in a targeted manner, the influence of the ground reflection on a secondary radar system is reduced, and the detection performance of the secondary radar is improved;
2. according to the reflection model, a calculation method is provided for selecting a new radar site, the reflection condition of the site is evaluated by using the reflection model, and ground reflection is avoided as much as possible;
3. and aiming at the existing ground reflected radar station, obtaining a reflected signal according to an actual engineering test.
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FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of a secondary radar reflection model according to the present invention;
FIG. 3 is a real response diagram under the condition that reflection exists in the actual engineering of the secondary radar;
FIG. 4 is a schematic representation of the characteristics of a real reply signal and a ground reflected signal;
FIG. 5 is a flow chart of a process for rejecting the reflection signal in the method of the present invention;
FIG. 6 is a flow chart of the reflected signal determination in the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1
As shown in fig. 1, a method for processing a reflection-removed signal based on a ground reflection model includes the following steps:
step 1: establishing a secondary radar reflection model by combining the geographical environment of a secondary radar erection site according to the phenomenon of a reflecting surface in the actual secondary radar engineering;
step 2: inspecting the environment around the secondary radar erection site, determining whether a reflecting surface exists, if so, measuring and calculating the altitude of the reflecting surface, and analyzing the characteristics of the reflecting surface by using a reflecting model; the method specifically comprises the following steps:
step 21: according to the geographical position of a secondary radar erection site, acquiring the altitude of the site;
step 22: measuring and calculating the antenna erection height according to the actual erection condition, wherein the height of the secondary radar station is the sum of the station altitude and the antenna erection height;
step 23: whether a reflecting surface lower than a station site exists around the station site erected by the secondary radar is inspected, and if the reflecting surface exists, the altitude of the reflecting surface is measured;
step 24: the characteristics of the reflected signal are analyzed and judged by utilizing the reflection model of the invention.
And step 3: setting a corresponding sensitivity time control value according to the characteristics of the reflecting surface and the characteristics of a response signal of a response target and a secondary radar erection site, comparing the response signal with the sensitivity time control value, decoding the response signal which is greater than the sensitivity time control value, reporting and storing the decoded response signal, and directly eliminating the response signal which is less than the sensitivity time control value; extracting stored response signal decoding data, judging whether the response signal decoding data is a reflection signal, if so, rejecting, and if not, performing trace point agglomeration processing on the decoding data;
and 4, step 4: and after the reflection signals are eliminated, the response signals are subjected to trace point condensation processing, and the processed response signals are reported and stored.
Example 2
Preferably, as shown in fig. 2, a schematic diagram of a secondary radar reflection model is shown, where H2 and H2 'are mirror images of a reflection plane, L4 and L4' are mirror images of the reflection plane, L5 is a horizontal distance between a secondary radar erection site and a reflection point, L2 is a horizontal distance between the secondary radar erection site and a response target, and H4 is a height difference between the response target and the secondary radar erection site. According to the schematic diagram of fig. 2, the step of establishing the secondary radar reflection model specifically includes:
step 1: calculating the altitude H1 of the reflecting plane;
step 2: calculating the altitude H3 of the secondary radar erection site, wherein the altitude comprises the height of the erection antenna;
and step 3: h5 is the altitude of the response target, the altitude is the altitude of the response target, after the secondary radar interrogator sends out the interrogation altitude signal, the aerial transponder acquires the air pressure gauge altitude of the airplane, and then the air pressure altitude returns in the form of response pulse, and the acquired target altitude is the altitude of the response target;
and 4, step 4: calculating the linear distance L1 between the aerial responder and the secondary radar erection site, counting the distance after the distance sends out an inquiry signal through a secondary radar inquiry machine, and calculating the distance L1 by multiplying the propagation speed of the signal according to the counted time;
and 5: obtaining the distance difference delta L between the real response signal and the reflected signal according to the geometric relation, wherein the calculation method is shown in a formula (1);
ΔL=[L1 2-(H5-H3) 2+(H5+H3-2H1) 2] 0.5-L1 (1)
step 6: obtaining the distance L5 between the reflection point and the station address according to the geometric relation, and the calculation method is shown in formula (2);
Figure BDA0002264251930000051
and 7: and establishing a secondary radar reflection model through three-dimensional modeling according to the relation of the obtained data.
Meanwhile, analysis is carried out according to data of the actual station address, wherein the delay distance is the distance difference Delta L between the real response signal and the reflected response signal. In this case, two reflecting planes with an altitude of 400 m and 220 m are selected for data analysis. Wherein the delay difference is a difference between the delay distance and the decoding delay distance. As can be seen from the data in table 1, the distance of the response target is greater than 100 km, and the results obtained by the calculation method using equation (1) and the calculation method based on the decoding delay match. The distance between the station address and the horizontal distance L5 of the reflection point is consistent with the actual geographical distribution, and the correctness of the reflection model in the invention is proved.
TABLE 1 target data
Figure BDA0002264251930000052
Fig. 3 is a diagram of real responses. Fig. 3 has two response targets in common, and the target codes are 6511 and 6512, respectively. Taking object code 6511 as an example, the reply signal of the object consists of a real reply signal and a reflected signal, the orientation of the real reply object is 179 degrees, the distance is 105 kilometers, and the height of the object is 8530 meters. The reflected signal target was oriented 179 deg., at a distance of 105.206 km, and had a height of 8530 meters. As can be seen from fig. 2, table 1 and fig. 3, the reflection model of the target data is consistent with the actually received data, which proves the correctness of the reflection model and provides theoretical support for how to reject the reflection target in the next step.
Fig. 4 is a schematic diagram of the characteristics of the real response signal and the reflected response signal, from which the difference between the real signal and the reflected signal can be derived:
1. the time delay of the reflected signal is larger than that of the real response signal, and the distance for finally reflecting the decoding data of the real response signal is smaller than that of the decoding data of the reflected signal;
2. the signal intensity of the reflected signal is smaller than that of the real answer signal;
3. and the pulse information of the reflected signal based on the ground reflection model and the real response signal is unchanged.
Example 3
Preferably, as shown in fig. 5, the flowchart of removing the reflection signal in the present invention specifically includes the following steps:
step 1: by analyzing the environmental characteristics of the station site and acquiring the strength of a response signal of an aerial target, the performance of a secondary radar system is integrated, a sensitivity time control value corresponding to the performance is set, and a part of weak reflected signals are filtered;
step 2: extracting information of the response decoding data, comparing the information with response data of the same inquiry trigger period, and judging whether the response decoding data is the decoding data of the reflected signal;
and step 3: if the data is the reflection signal decoding data, marking the data as reflection response and not performing data storage processing;
and 4, step 4: if the signal is not a reflection signal, the signal is marked as a non-reflection response, data storage processing is needed, and then trace point condensation processing is continued.
Example 4
Preferably, as shown in fig. 6, the flow chart for determining the reflected signal in the present invention specifically includes the following steps:
step 1: comparing the decoded data of the response signal with the decoded data which is effective in the same period, if the decoded data is not effective in the same period, judging the response signal as a non-reflected signal, and performing trace point condensation;
step 2: if the effective decoding data exist in the same period, comparing the mode codes of the non-height response targets, if the mode codes of the response targets are different, judging the response signal as a non-reflection signal, and performing trace point condensation processing on the non-reflection signal. When the secondary radar inquires the aerial response target, the altitude and the mode code of the aerial response target are inquired, and the non-altitude refers to the condition that the secondary radar does not inquire the altitude of the aerial response target and only inquires the code of the aerial response target.
And step 3: if the mode codes of the response targets are the same, calculating the distance difference between the response signals and the reflected signals, if the distance difference is larger than the reflected signal judgment distance threshold (which is set by integrating the geographical environment of the station and calculated according to a secondary radar reflection model), judging the response signals as non-reflected signals, and performing trace point agglomeration processing;
and 4, step 4: if the distance difference is smaller than the reflected signal judgment distance threshold, calculating the response signal intensity difference, and if the response signal intensity difference is smaller than the reflected signal intensity difference threshold (which needs to be set by a system receiver system), judging the response signal to be a non-reflected signal;
and 5: if the signal intensity difference is larger than the reflected signal intensity difference threshold, the signal is judged to be a reflected signal.
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 (5)

1. A processing method for removing reflection signals based on a ground reflection model is characterized by comprising the following steps:
step 1: establishing a secondary radar reflection model by combining the geographical environment of a secondary radar erection site according to the phenomenon of a reflecting surface in the actual secondary radar engineering;
step 2: inspecting the environment around the secondary radar erection site, determining whether a reflecting surface exists, if so, measuring and calculating the altitude of the reflecting surface, and analyzing the characteristics of a reflected signal in the reflecting surface by using a reflecting model;
and step 3: setting a corresponding sensitivity time control value by combining the response signal of the response target and the characteristics of the secondary radar erection site, comparing the response signal with the sensitivity time control value, decoding, reporting and storing the response signal which is greater than the sensitivity time control value, and directly eliminating the response signal which is less than the sensitivity time control value; extracting stored response signal decoding data, judging whether the response signal decoding data is a reflection signal according to the characteristics of the reflection signal, if so, rejecting, and if not, performing trace point condensation processing on the decoding data;
and 4, step 4: and after the reflection signals are eliminated, the response signals are subjected to trace point condensation processing, and the processed response signals are reported and stored.
2. The method for processing the ground reflection model-based de-reflection signal according to claim 1, wherein the specific process of the step 1 comprises:
step 11: measuring and calculating the altitude H1 of a reflecting plane existing around the secondary radar erection site;
step 12: calculating the altitude H3 of the secondary radar erection site, wherein the altitude comprises the height of the erection antenna;
step 13: acquiring the altitude H5 of the response target;
step 14: calculating the linear distance L1 between the response target and the secondary radar erection site;
step 15: obtaining the distance difference delta L between the real response signal and the reflected signal according to the geometric relation, wherein the calculation method is shown in a formula (1);
ΔL=[L1 2-(H5-H3) 2+(H5+H3-2H1) 2] 0.5-L1 (1)
step 16: obtaining the distance L5 between the reflection point and the station address according to the geometric relation, and the calculation method is shown in formula (2);
Figure FDA0002264251920000011
and step 17: and establishing a secondary radar reflection model through three-dimensional modeling according to the relation of the obtained data.
3. The method for processing the ground reflection model-based de-reflection signal according to claim 1, wherein the step 2 comprises the following specific processes:
step 21: according to the geographical position of a secondary radar erection site, acquiring the altitude of the site;
step 22: measuring and calculating the antenna erection height according to the actual erection condition, wherein the height of the secondary radar station is the sum of the station altitude and the antenna erection height;
step 23: whether a reflecting surface with the altitude lower than that of the secondary radar erection site exists around the secondary radar erection site or not is inspected, and if the reflecting surface exists, the altitude of the reflecting surface is measured and calculated;
step 24: and analyzing and judging the characteristics of the reflected signals by using the reflection model.
4. The method for processing the ground reflection model-based de-reflection signal according to claim 1 or 3, wherein the step 3 comprises the following specific processes:
step 31: combining the characteristics of the reflected signals in the reflecting surface, adjusting the sensitivity time control value of the reflecting surface by analyzing the environmental characteristics of the secondary radar erection site and acquiring the strength of the response signals of the aerial target, decoding the response signals larger than the sensitivity time control value, reporting and storing the response signals, and directly eliminating the signals smaller than the sensitivity time control value;
step 32: and extracting information of the stored response signal decoding data, comparing the response signal decoding data effective in the same period, judging the reflection signal of the response signal decoding data effective in the same period according to the characteristics of the reflection signal, performing reflection removing processing on the response signal decoding data judged as the reflection signal, storing the response signal decoding data judged as the non-reflection signal in data first, and performing trace point aggregation processing.
5. The method for processing the ground reflection model based de-reflection signal according to claim 4, wherein in the step 32, the specific process of judging the reflection signal includes:
step 321: comparing the response signal decoding data with the response signal decoding data which is effective in the same period, if no effective response signal decoding data exists in the same period, judging the response signal decoding data as a non-reflection signal, and performing trace point condensation processing;
step 322: if valid answer signal decoding data exist in the same period, comparing the mode codes of the non-height answer targets, if the mode codes of the answer targets are different, judging the answer targets to be non-reflection signals, and performing trace point condensation processing on the non-reflection signals;
step 323: if the mode codes of the response targets are the same, calculating the distance difference between the real response signal and the reflected signal, if the distance difference is larger than the judgment distance threshold of the reflected signal, judging the response signals as non-reflected signals, and performing trace point agglomeration processing;
step 324: if the distance difference is smaller than the reflected signal judgment distance threshold, calculating the response signal intensity difference, if the response signal intensity difference is smaller than the reflected signal intensity difference threshold, judging the response signal as a non-reflected signal, and performing trace point condensation processing;
step 325: if the signal intensity difference is larger than the reflected signal intensity difference threshold, the reflected signal is judged to be the reflected signal, and the reflected signal is eliminated.
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