Radar sector scanning feature analysis method and system based on double-node detection data

Abstract

The invention belongs to the technical field of ELINT-radar signal interception and analysis, discloses a radar sector scanning feature analysis method based on dual-node detection data, and provides a method for determining a radar sector scanning range and a beam width based on dual-reconnaissance node measurement data. The understanding and mastering of the radar fan-shaped scanning range and the beam width play an important supporting role in deducing the fan-shaped scanning radar battle technical performance and identifying the radar radiation source identity. The scanning sector range and the beam width of the radar calculated according to the technology of the invention can be used as important support for radar performance analysis, and can also be used for supporting related applications of distributed cooperative electronic reconnaissance.

Description

Technical Field

[0001] The present invention belongs to the technical field of ELINT - radar signal interception and analysis, and particularly relates to a method and system for analyzing radar sector scan characteristics based on dual - node detection data. Background Art

[0002] ELINT (Electronic Intelligence) mainly intercepts, measures, and analyzes the signals transmitted by radar systems to obtain relevant information about radar performance.

[0003] When analyzing the two - way sector scan mode using the measurement data of a single - radar counter - reconnaissance receiver, it is easy to rely on the signal - to - noise ratio - time relationship data of the detected pulse group to obtain the scan period of the radar radiation source and the 3dB beam dwell time.

[0004] Denote the radar sector scan range as Θ, the included angle between the two sector edges, the radar 3dB beam width as θ 3dB , the radar beam scan rate as ω, the 3dB beam dwell time as T 3dB , the two - way sector scan period as T scan , then there is:

[0005]

[0006] θ 3dB = T 3dB × ω (2)

[0007] Since the beam scan rate ω is unknown, relying on the measurement data of a single - radar counter - reconnaissance receiver, only the ratio of Θ and θ 3dB can be obtained, that is:

[0008]

[0009] and the exact values of the two cannot be calculated.

[0010] When the prior art analyzes the two - way sector scan mode using the measurement data of a single - radar counter - reconnaissance receiver, it usually infers the scan period of the radar radiation source and the 3dB beam dwell time by intercepting the signal - to - noise ratio - time change relationship of the pulse group. However, due to the unknown beam scan rate, only the ratio of the radar sector scan range to the 3dB beam width can be obtained, and it is difficult to further accurately infer the actual scan range and beam width parameters of the radar, resulting in a large uncertainty in the radar performance characteristic information.

[0011] Therefore, the main problems existing in the prior art are as follows: when relying solely on the data of a single radar against a reconnaissance receiver, it is impossible to accurately determine the specific values of the fan-shaped scanning range (Θ) and the 3dB beam width (θ_3dB) of the radar. This technical limitation directly affects the assessment of the radar threat level by the electronic reconnaissance system and the formulation of countermeasure strategies, restricting the accurate acquisition of radar performance parameters and the in-depth exploration of subsequent intelligence applications. Summary of the Invention

[0012] In view of the problems existing in the prior art, the present invention provides a method for analyzing the fan-shaped scanning characteristics of a radar based on dual-node detection data.

[0013] The present invention is implemented as follows. A method for analyzing the fan-shaped scanning characteristics of a radar based on dual-node detection data includes:

[0014] S1: Determine the angle between the radar radiation source and the two reconnaissance nodes;

[0015] S2: Determine the time interval for the radar radiation source to sweep across the two reconnaissance nodes;

[0016] S3: Determine the beam scanning rate;

[0017] S4: Determine the sector scanning range and the 3dB beam width.

[0018] Further, for determining the angle between the radar radiation source and the two reconnaissance nodes:

[0019] Denote the fan-shaped scanning range of the radar as Θ, the 3dB beam width of the radar as θ 3dB , the radar beam scanning rate as ω, the 3dB beam dwell time as T 3dB , the two-way fan-shaped scanning period as T scan , then there is:

[0020]

[0021] θ 3dB = T 3dB × ω (2)

[0022] Since the beam scanning rate ω is unknown, relying on the measurement data of a single radar against a reconnaissance receiver, only the ratio of Θ and θ 3dB can be obtained, that is:

[0023]

[0024] Assume that the radar radiation source is at O, the two radar against reconnaissance receivers are at A and B respectively, and the radar scanning boundaries are O1 and O2;

[0025] Assume that both A and B are within the radar scanning range, and their receiving antennas are wide beams (the 3dB beam dwell time is T 3dB which can more accurately reflect the radar antenna beam width); denote the direction of the incoming wave of the radiation source measured by the reconnaissance node A as and the direction of the incoming wave of the radiation source measured by the reconnaissance node B as

[0026] The position of the radar radiation source, denoted as (x o , y o ). Furthermore, according to the cosine theorem, an estimate of the angle ∠AOB between the target radar radiation source O and the receivers A and B can be obtained;

[0027]

[0028] Wherein:

[0029]

[0030] Furthermore, the time interval for the radar radiation source to sweep across the two reconnaissance nodes is determined as follows:

[0031] By analyzing the data of the reconnaissance node A, it is easy to obtain the period of the bi-directional sector scanning radar from point A to the edge O1 and back to A that is, the time difference between two consecutive scans of A by the radar; by analyzing the data of the reconnaissance node B, it is easy to obtain the period of the bi-directional sector scanning radar from point B to the edge O2 and back to B Thus, the time interval for the radar radiation source to sweep across the two reconnaissance nodes can be determined by Equation (8) as:

[0032]

[0033] S3: Determine the beam scanning rate; according to T BAB and ∠AOB, calculate the wave speed scanning rate ω, and there is

[0034]

[0035] Furthermore, the sector scanning range and the 3dB beam width are determined as follows:

[0036] According to the wave speed scanning rate ω calculated by Equation (9), the target radar sector scanning range Θ can be determined by Equation (1), and the beam width θ can be calculated by Equation (2) 3dB .

[0037] Another object of the present invention is to provide a radar sector scanning feature analysis system based on dual-node detection data, including:

[0038] An included angle determination module, configured to determine the included angle from the radar radiation source to the dual reconnaissance nodes;

[0039] A time interval determination module, configured to determine the time interval for the radar radiation source to sweep across the dual reconnaissance nodes;

[0040] A scanning rate determination module, configured to determine the beam scanning rate;

[0041] A beam width determination module, configured to determine the sector scanning range and the 3dB beam width.

[0042] Another object of the present invention is to provide a computer device, where the computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the radar fan-shaped scanning feature analysis method based on dual-node detection data.

[0043] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the radar fan-shaped scanning feature analysis method based on dual-node detection data.

[0044] Another object of the present invention is to provide an information data processing terminal, where the information data processing terminal is used to implement the radar fan-shaped scanning feature analysis system based on dual-node detection data.

[0045] Combined with the above technical solutions and the solved technical problems, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0046] First, the technology of the present invention proposes a method for determining the radar fan-shaped scanning range and beam width based on the measurement data of dual reconnaissance nodes. Understanding and mastering the radar fan-shaped scanning range and beam width play an important supporting role in inferring the technical performance of fan-shaped scanning radars and identifying the identities of radar radiation sources.

[0047] The calculated scanning sector range and beam width of the radar according to the technology of the present invention can serve as an important support for radar performance analysis and also support related applications of distributed collaborative electronic reconnaissance.

[0048] Second, the technical solution of the present invention provides a method for analyzing the radar fan-shaped scanning features based on dual reconnaissance nodes, filling the related technical gaps in the analysis of fan-shaped scanning radar signal features.

[0049] For a circumferential scanning radar, based on the detection data of a single reconnaissance node, it is easy to infer its beam scanning period, beam scanning rate, and beam width because the scanning range is defaulted to 360°. For a two-way fan-shaped scanning radar, due to the unknown scanning range, only based on the measurement data of a single reconnaissance node, only the ratio of the scanning range to the beam width can be obtained, and it is difficult to obtain the exact estimated values of the two. The present invention provides a solution to this problem based on the data of two reconnaissance nodes. Description of the Drawings

[0050] Figure 1 is a flowchart of a method for analyzing radar fan-shaped scanning characteristics based on dual-node detection data provided by an embodiment of the present invention.

[0051] Figure 2 is a block diagram of the structure of a radar fan-shaped scanning characteristic analysis system based on dual-node detection data provided by an embodiment of the present invention.

[0052] Figure 3 is a two-way fan scanning pattern intercepted at four different receiver positions provided by an embodiment of the present invention.

[0053] Figure 4 is T provided by an embodiment of the present invention 3dB measurement method diagram.

[0054] Figure 5 is a schematic diagram of data collection by two reconnaissance nodes provided by an embodiment of the present invention. Detailed Embodiments

[0055] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] As Figure 1 shown, a method for analyzing radar fan-shaped scanning characteristics based on dual-node detection data provided by an embodiment of the present invention includes the following steps:

[0057] S1: Determine the included angle between the radar radiation source and the two reconnaissance nodes;

[0058] S2: Determine the time interval for the radar radiation source to sweep across the two reconnaissance nodes;

[0059] S3: Determine the beam scanning rate;

[0060] S4: Determine the sector scanning range and the 3dB beam width.

[0061] First, for the analysis of the radar sector scanning characteristics, it is necessary to obtain the relative azimuth information of the radar radiation source and the two reconnaissance nodes based on the dual-node detection system. By comparing the characteristics of the pulse signals received by the nodes (such as arrival time, peak SNR time, etc.), calculate the spatial angles formed by the radar radiation source, Node 1, and Node 2. Combining the known conditions of the node positions, use basic geometric derivations to obtain the angular span between the radar beam and the two nodes during the scanning process, laying a foundation for the subsequent calculation of the beam motion parameters.

[0062] Secondly, by synchronously recording the signal time series received by the dual nodes, extract the time interval corresponding to the main lobe of the radar beam sweeping across the two nodes in sequence. According to the changing trend of the pulse group energy envelope curve or SNR curve, accurately locate the moments when the center of the main lobe of the beam reaches each node. Further through time difference analysis, combined with the node angle information, the changing law of the angular velocity experienced by the radar beam during the lateral movement can be deduced, thus correlating the dynamic characteristics of the radar beam scanning.

[0063] Based on the data of the node angle and time interval, the beam scanning rate (angular velocity ω) can be deduced. Specifically, divide the node angle by the time difference between the radar main lobe sweeping across the center of the two nodes to obtain an estimated value of the scanning angular velocity. If considering the radar scanning as a two-way reciprocating mode, it is also necessary to correct according to the signal periodic characteristics to eliminate the possible influence of the backscanning time delay to ensure the accuracy of the beam scanning rate estimation.

[0064] Finally, based on the obtained beam scanning rate and the changing law of the pulse SNR measured at the nodes, the sector scanning range (Θ) and the 3dB beam width (θ_3dB) can be inversely deduced. Specifically, combining the radar scanning period, scanning rate, and the beam transition time measured at the nodes (i.e., the time length when the main lobe of the 3dB beam passes through the node), use the formulas Θ = (T_scan × ω) / 2 and θ_3dB = T_3dB × ω for parameter inversion, and then realize the quantitative characterization of the sector scanning behavior of the radar radiation source.

[0065] The present invention embodiment provides a method for determining the angle between the radar radiation source and the two reconnaissance nodes:

[0066] Denote the radar sector scanning range as Θ, the radar 3dB beam width as θ 3dB , the radar beam scanning rate as ω, the 3dB beam dwell time as T 3dB , and the two-way sector scanning period as T scan , then there are:

[0067]

[0068] θ 3dB = T 3dB × ω (2)

[0069] Since the beam scanning rate ω is unknown, relying on the measurement data of a single radar against a reconnaissance receiver, only the ratio of Θ and θ can be obtained, that is: 3dB

[0070]

[0071] Assume that the radar radiation source is at O, two radar counter-reconnaissance receivers are at A and B respectively, and the radar scanning boundaries are O1 and O2;

[0072] Assume that both A and B are within the radar scanning range, and their receiving antennas are wide beams (the 3dB beam dwell time is T 3dB which can more accurately reflect the radar antenna beam width); denote the direction of the incoming wave of the radiation source measured by the reconnaissance node A as and the direction of the incoming wave of the radiation source measured by the reconnaissance node B as

[0073] The position of the radar radiation source, denoted as (x o , y o ). Then, according to the cosine theorem, the estimate of the angle ∠AOB between the target radar radiation source O and the receivers A and B can be obtained;

[0074]

[0075] where:

[0076]

[0077] The embodiments of the present invention provide a method for determining the time interval during which the radar radiation source sweeps across two reconnaissance nodes:

[0078] Analyzing the data of the reconnaissance node A, it is easy to obtain the period of the two-way fan-shaped scanning radar from point A to the edge O1 and back to A that is, the time difference between two consecutive scans of A by the radar; analyzing the data of the reconnaissance node B, it is easy to obtain the period of the two-way fan-shaped scanning radar from point B to the edge O2 and back to B Thus, the time interval during which the radar radiation source sweeps across two reconnaissance nodes can be determined by Equation (8) as: <o:p>

[0079]

[0080] BAB S3: Determine the beam scanning rate; according to T

[0081]

[0082] ​Determination of Sector Scanning Range and 3dB Beamwidth Provided by Embodiments of the Present Invention:

[0083] The wave speed scanning rate ω calculated according to Formula (9) can be used to determine the target radar sector scanning range Θ by Formula (1), and the beamwidth θ can be calculated by Formula (2). 3dB .

[0084] As Figure 2 shown, a radar sector scanning feature analysis system based on dual-node detection data provided by embodiments of the present invention includes:

[0085] An included angle determination module for determining the included angle between the radar radiation source and the dual reconnaissance nodes;

[0086] A time interval determination module for determining the time interval when the radar radiation source sweeps across the dual reconnaissance nodes;

[0087] A scanning rate determination module for determining the beam scanning rate;

[0088] A beamwidth determination module for determining the sector scanning range and 3dB beamwidth.

[0089] For the radar sector scanning feature analysis system based on dual-node detection data provided by embodiments of the present invention, through the included angle determination module, according to the radar pulse signal intensity change curve synchronously received by the dual nodes, combined with the geographical coordinate information of the nodes and the radar beam direction change rule, the spatial included angle formed when the radar beam sweeps across the two nodes is determined. Specifically, by comprehensively calculating the difference in the signal peak appearance time received by the nodes and the relative azimuth relationship between the nodes, the angle change range of the radar main lobe in the plane coordinate system is estimated, providing input conditions for the subsequent inversion of the scanning rate and beam parameters.

[0090] The time interval determination module is based on a high-precision time synchronization mechanism. For example, by using a pulse synchronization signal (PPS) or a time synchronization protocol (such as the PTP protocol) to achieve clock synchronization between nodes, the signal reception timestamps when the radar beam sweeps across the two nodes in sequence are extracted. By performing maximum value positioning and curve fitting analysis on the pulse energy envelope curve received by each node, the time point when the beam main lobe sweeps across the center position of the node is accurately determined, and the time difference between the two is calculated. To improve the time measurement accuracy, the influence of the radar pulse repetition frequency on the time series sampling density needs to be considered, and when necessary, the sliding window algorithm is used to enhance the robustness of time positioning.

[0091] Based on the determined spatial angle between nodes and the time difference for the beam to sweep across two nodes, the scan rate determination module derives the scan rate of the radar beam using the relationship where the angular velocity is equal to the angle divided by the time interval. That is, taking the angle between nodes as the numerator and the time interval for the main lobe of the beam to sweep across two nodes as the denominator, and dividing the two to obtain the scan angular velocity of the beam. For the common bi-directional reciprocating scanning characteristic of the radar, the system further analyzes the periodic change of the pulse arrival time, identifies the scanning direction, corrects the time delay error caused by the back scan, and ensures the accuracy and stability of the scan rate estimation.

[0092] The beam width determination module uses the previously obtained scan rate and the 3 dB signal-to-noise ratio attenuation characteristic of the received signal at the node to calculate the 3 dB beam width of the radar. Specifically, the 3 dB beam width is equal to the product of the beam scan rate and the dwell time of the beam at the node. At the same time, by analyzing the periodic characteristics of the pulse sequence and combining with the beam scan rate, the complete sector scan range of the radar is derived, where the sector scan range is equal to the scan period multiplied by the scan rate and then divided by two. To improve the accuracy of the beam width and scan range inversion, the Gaussian distribution fitting method or the half-power point detection method is used in the transition region of the signal-to-noise ratio curve to determine the beam dwell time, thereby realizing the accurate quantitative characterization of the scanning characteristics of the radar radiation source. The specific implementation of the present invention:

[0093] Figure 3 The basic measurement method of the scan period is given, Figure 4 The measurement method of the 3 dB beam dwell time is given;

[0094] Denote the radar fan-shaped scan range as Θ, corresponding to Figure 3 (a) The included angle between the edges of the two sectors, the 3 dB beam width of the radar is θ 3dB , the scan rate of the radar beam is ω, the 3 dB beam dwell time is T 3dB , the bi-directional fan-shaped scan period is T scan , then there is:

[0095]

[0096] θ 3dB = T 3dB × ω (2)

[0097] Since the beam scan rate ω is unknown, relying on the measurement data of a single radar against a reconnaissance receiver, only the ratio of Θ and θ 3dB can be obtained, that is:

[0098]

[0099] And the exact values of the two cannot be calculated;

[0100] The present invention uses the measurement data of two reconnaissance nodes to estimate the scanning range Θ and beam width θ of a two-way sector scanning radar 3dB ;

[0101] As Figure 5 shown, assume that the radar radiation source is at O, and the two radar counter-reconnaissance receivers are at A and B respectively, and the radar scanning boundaries are O1 and O2;

[0102] Assume that both A and B are within the radar scanning range, and their receiving antennas are wide beams (the 3dB beam dwell time is T 3dB which can more accurately reflect the radar antenna beam width); denote the direction of the incoming wave of the radiation source measured by the reconnaissance node A as and the direction of the incoming wave of the radiation source measured by the reconnaissance node B as

[0103] According to the foregoing background technology, it is easy to obtain the scanning period T scan of the two-way sector scanning radar and the 3dB beam dwell time of T 3dB from the measurement data of the reconnaissance nodes;

[0104] S1: Determine the included angle between the radar radiation source and the two reconnaissance nodes;

[0105] Using the classical triangulation method (for reference: Wang Shafei, Tian Zhongcheng translated. Richard A. Poisel. Electronic Warfare Target Location Methods (Second Edition) [M]. Publishing House of Electronics Industry, 2014.), from the measurement data of the two reconnaissance nodes, it is easy to estimate the position of the radar radiation source, denoted as (x o , y o ), and then according to the cosine theorem, the estimate of the included angle ∠AOB between the target radar radiation source O and the receivers A and B can be obtained;

[0106]

[0107] Among them:

[0108]

[0109] S2: Determine the time interval for the radar radiation source to sweep across the two reconnaissance nodes;

[0110] Analyze the data of the reconnaissance node A, and it is easy to obtain the period of the two-way sector scanning radar from point A to the edge O1 and back to A that is, the time difference between two consecutive scans of A by the radar; analyze the data of the reconnaissance node B, and it is easy to obtain the period of the two-way sector scanning radar from point B to the edge O2 and back to B Thus, the time interval for the radar radiation source to sweep across the two reconnaissance nodes can be determined by Equation (8) as:

[0111]

[0112] S3: Determine the beam scanning rate; According to T BAB and ∠AOB, calculate the wave speed scanning rate ω, and there is

[0113]

[0114] S4: Determine the sector scanning range and the 3dB beam width;

[0115] According to the wave speed scanning rate ω calculated by formula (9), the target radar sector scanning range Θ can be determined by formula (1), and the beam width θ can be calculated by formula (2) 3dB ;

[0116] Suppose there is a two-way sector scanning radar and two radar counter-reconnaissance receivers. The two radar receivers are respectively placed at different positions A and B, and both are within the radar scanning range. Suppose the reconnaissance node A is the origin of the coordinate axis, and the reconnaissance node B is located at (40,0) km, then AB = 40 km.

[0117] Suppose the single reconnaissance node data analysis technology is used, and it has been measured that T scan is 1400 ms, and the 3dB beam dwell time T 3dB is 30 ms,

[0118] Taking the due north as the reference 0°, suppose the incoming wave direction measured by the reconnaissance node A is 30°, and the incoming wave direction measured by the reconnaissance node B is -30°. Using the triangulation method, it is easy to calculate that the position of the radar radiation source is

[0119] S1. According to the cosine theorem, calculate that ∠AOB = 60°.

[0120] S2. According to formula (8), calculate to get

[0121] S3. According to formula (9), calculate the beam scanning rate

[0122]

[0123] S4. According to formula (1), calculate the sector scanning range

[0124] Θ = 1.4 × 50 = 70°

[0125] According to formula (2), calculate the beam width

[0126] θ 3dB= 0.03 × 50 = 1.5°

[0127] The method of the present invention can calculate the sector range and beam width of a bidirectional sector-scanning radar, and is only applicable to fixed or low-speed moving radar radiation sources.

[0128] The method idea of the present invention can be easily extended to determine the scanning range and beam width of a progressive-scanning radar by further increasing the reconnaissance nodes and making simple improvements.

[0129] The specific application field of the present invention is the data analysis and processing of radar countermeasure reconnaissance. Related products include distributed cooperative electronic reconnaissance systems, multi-node electromagnetic data analysis and processing systems, etc.

[0130] Theoretically speaking, for a sector-scanning radar, using the data intercepted by a single node reconnaissance can only measure the scanning period and the 3dB beam dwell time, and then determine the ratio of the sector scanning range to the 3dB beam width, but it is impossible to accurately obtain the exact values of both.

[0131] By increasing the reconnaissance nodes to achieve the positioning of the radar radiation source, and using the information collaboration between the reconnaissance nodes, the beam scanning rate can be determined, thereby determining the exact values of the sector scanning range and the 3dB beam width.

[0132] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated designed hardware. Those of ordinary skill in the art can understand that the above devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code is provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits of programmable hardware devices such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable logic devices such as field programmable gate arrays, or can be implemented by software executed by various types of processors, or can be implemented by a combination of the above hardware circuits and software, such as firmware.

[0133] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention by those skilled in the art within the technical scope disclosed by the present invention shall be covered by the protection scope of the present invention.

Claims

1. A method for analyzing radar fan scan characteristics based on dual-node detection data, characterized in that, It includes the following steps: S1. Based on the radar pulse signal data received by the dual reconnaissance nodes, determine the spatial angle between the radar radiation source and the two reconnaissance nodes; S2. Extract the signal time series received by the dual reconnaissance nodes during the beam scanning process, and determine the time interval for the main lobe of the radar beam to sequentially sweep across the two nodes; S3. Calculate the radar beam scanning rate according to the spatial angle obtained in step S1 and the time interval obtained in step S2; S4. Based on the beam scanning rate and the change characteristics of the signal-to-noise ratio of the pulse signal, determine the radar sector scanning range and the 3dB beam width.

2. The radar sector scan feature analysis method based on dual-node detection data according to claim 1, wherein The determination of the angle between the radar radiation source and the dual reconnaissance nodes: Denote the radar fan-shaped scanning range as , the radar 3dB beam width as , the radar beam scanning rate as , the 3dB beam dwell time as , and the two-way fan-shaped scanning period as , then there is: （1） （2） Due to the beam scanning rate being unknown, relying on the measurement data of a single radar against a reconnaissance receiver can only obtain the ratio, that is: （3） Assume that the radar radiation source is located at , and the two radar counter-reconnaissance receivers are located at , , respectively. The radar scanning boundaries are , ; Assume and are both within the radar scanning range, and their receiving antennas are wide beams (the 3dB beam dwell time is which can more accurately reflect the radar antenna beam width); denote the direction of arrival of the radiation source measured by the reconnaissance node A as , and the direction of arrival of the radiation source measured by the reconnaissance node B as ; The position of the radar radiation source, denoted as , and then according to the cosine theorem, the target radar radiation source receiver , the included angle between can be estimated; （4） Wherein: （5） （6） （7）。 3. The radar fan-shaped scan feature analysis method based on dual-node detection data according to claim 1, wherein The determination of the time interval for the radar radiation source to sweep across the dual reconnaissance nodes: By analyzing the data of reconnaissance node A, it is easy to obtain the data of two-way sector scanning radar from Point Scan to Edge And return to scan to Cycle , that is, two shorter consecutive scans of the radar By analyzing the data of the reconnaissance node B, it is easy to obtain the time difference of the two-way sector scanning radar from Point Scan to Edge And return to scan to Cycle ; Therefore, the time interval for the radar radiation source to sweep across the dual reconnaissance nodes can be determined by formula (8): （8） S3: Determine the beam scanning rate; according to , , calculate the wave speed scanning rate , there is （9）。 4. The radar sector scan feature analysis method based on dual-node detection data according to claim 1, wherein The determination of the sector scanning range and the 3dB beam width: Wave speed scanning rate calculated according to formula (9) , the target radar sector scanning range can be determined by formula (1) , the beam width can be calculated from formula (2) .

5. A radar sector scan feature analysis system based on dual-node detection data for implementing the radar sector scan feature analysis method based on dual-node detection data according to any one of claims 1-4, characterized in that The radar sector scanning feature analysis system based on dual-node detection data includes: An angle determination module for determining the angle between the radar radiation source and the dual reconnaissance nodes; A time interval determination module for determining the time interval for the radar radiation source to sweep across the dual reconnaissance nodes; A scanning rate determination module for determining the beam scanning rate; A beam width determination module for determining the sector scanning range and the 3dB beam width.

6. A computer device, characterized in that, The computer device includes a memory and a processor. When the computer program stored in the memory is executed by the processor, the processor executes the steps of the radar sector scanning feature analysis method based on dual-node detection data according to any one of claims 1-4.

7. A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the radar sector scanning feature analysis method based on dual-node detection data according to any one of claims 1-4.

8. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the radar sector scanning feature analysis system based on dual-node detection data according to claim 5.

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