CN113311394A - Ultra-wideband PDW real-time fusion method - Google Patents

Ultra-wideband PDW real-time fusion method Download PDF

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CN113311394A
CN113311394A CN202110538231.8A CN202110538231A CN113311394A CN 113311394 A CN113311394 A CN 113311394A CN 202110538231 A CN202110538231 A CN 202110538231A CN 113311394 A CN113311394 A CN 113311394A
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pdw
processor
data
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CN113311394B (en
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马干军
李宏圆
李霄
徐思远
姚群
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723 Research Institute of CSIC
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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
    • 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
    • G01S7/021Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
    • 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
    • G01S7/28Details of pulse systems
    • G01S7/2806Employing storage or delay devices which preserve the pulse form of the echo signal, e.g. for comparing and combining echoes received during different periods
    • 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
    • G01S7/28Details of pulse systems
    • G01S7/285Receivers
    • G01S7/295Means for transforming co-ordinates or for evaluating data, e.g. using computers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • 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 discloses an ultra wide band PDW real-time fusion method, which comprises the following steps: the master processor and the slave processor select effective signal data and send the effective signal data to the fusion processor in real time; the main processor calculates the frequency, pulse width and arrival time of the effective signals to form PDW and sends the PDW to the fusion processor in real time; and the fusion processor calculates the arrival angle and the signal amplitude according to the received PDW information and the effective signal data to generate a fused PDW. The invention utilizes FFT or channelization to decompose, process and detect the ultra-wideband signal, and carries out synchronous real-time interaction of information through the high-speed transceiver, thereby realizing the ultra-wideband real-time processing.

Description

Ultra-wideband PDW real-time fusion method
Technical Field
The invention belongs to the technical field of radar reconnaissance, and particularly relates to an ultra wide band PDW real-time fusion method.
Background
In an electronic battlefield, the electronic environment is complex and changeable, and the radar reconnaissance receiver needs to perform real-time processing to detect radar signals of enemies and generate PDW. PDW generally includes frequency (RF), Pulse Amplitude (PA), Pulse Width (PW), time of arrival (TOA), angle of arrival (AOA), and the like. Wherein the angle of arrival needs multi-sensor support, which involves data fusion.
At present, a time alignment method based on TOA difference matching is proposed in documents, which performs time alignment, then performs correlation according to attributes such as frequency and pulse width, and performs data-level PDW decision fusion by applying a D-S fusion formula. However, this method is relatively complex and time consuming in engineering applications, especially when faced with large bandwidth and high pulse density.
Disclosure of Invention
The invention provides an ultra wide band PDW real-time fusion method.
The technical solution for realizing the invention is as follows: an ultra-wideband PDW real-time fusion method comprises the following specific steps:
step 1: the master processor and the slave processor select effective signal data and send the effective signal data to the fusion processor in real time;
step 2: the main processor calculates the frequency, pulse width and arrival time of the effective signals to form PDW and sends the PDW to the fusion processor in real time;
and step 3: and the fusion processor calculates the arrival angle and the signal amplitude according to the received PDW information and the effective signal data to generate a fused PDW.
Preferably, the specific method for selecting effective signal data from the master processor and the slave processor and sending the effective signal data to the fusion processor in real time comprises the following steps:
step 1.1: the master processor and the slave processor respectively carry out FFT or channelization processing on the sampling data of the sensor;
step 1.2: the main processor performs signal detection on the data subjected to FFT or channelization to obtain an FFT path or channel number of an effective signal, and sends the FFT path or channel number to the auxiliary processor in real time;
step 1.3: and the master processor and the slave processor select data of the corresponding FFT paths or channels according to the FFT paths or channel numbers obtained in the step 1.2 and send the data to the fusion processor in real time.
Preferably, the data selected from the master processor and the slave processor are sent to the fusion processor in real time through the high-speed transceiver.
Preferably, the FFT path or channel number of the valid signal obtained by the master processor is transmitted to the slave processor in real time through the high-speed transceiver.
Preferably, the fusion processor calculates the arrival angle and the signal amplitude according to the received PDW information and the effective signal data, and the specific step of generating the fused PDW is as follows:
step 3.1: the fusion processor captures data sent by the master processor and the slave processor according to the received PDW of the master processor;
step 3.2: and the fusion processor calculates the arrival angle and the amplitude of the signal according to the captured amplitude-phase information of the data of the master processor and the slave processor, and forms the fused PDW by combining the PDW information received in the step 3.1.
Preferably, the specific method for forming the fused PDW by the fusion processor according to the captured amplitude and phase information of the master and slave processor data to calculate the arrival angle and amplitude of the signal and the PDW information received in step 3.1 is as follows:
after data is captured each time, calculating the amplitude-phase information of the captured data;
obtaining the current pulse arrival angle by using a amplitude comparison method or a phase comparison method according to the amplitude-phase information;
comparing amplitude values of currently captured master and slave processor data, and taking the maximum value of the amplitude values as the pulse amplitude of the current PDW;
and combining the obtained pulse arrival angle and pulse amplitude with the rest of PDW information received in the step 3.1 to form a fused PDW.
Compared with the prior art, the invention has the following remarkable advantages: the invention utilizes FFT or channelization to decompose, process and detect the ultra-wideband signal, and carries out synchronous real-time interaction of information through a high-speed transceiver, thereby realizing the ultra-wideband real-time processing; from the realization point of view, the real-time interaction of the master processor and the slave processor avoids the comparison of a large amount of caches of the multi-sensor PDW information in the fusion processing, and is relatively simple and easy to realize.
The present invention is described in further detail below with reference to the attached drawings.
Drawings
FIG. 1 is a schematic diagram of the relationship of the sensors of the present invention.
FIG. 2 is a schematic flow chart of the present invention.
Detailed Description
As shown in fig. 1 and fig. 2, an ultra-wideband PDW real-time fusion method includes the following steps:
step 1: the method comprises the following steps that effective signal data are selected from a master processor and a slave processor and are sent to a fusion processor in real time through a high-speed transceiver, and the method specifically comprises the following steps:
step 1.1: and the master processor and the slave processor respectively carry out FFT or channelization processing on the sampling data of the sensor.
The purpose of this step is to decompose the ultra-wideband signal, and the specific processing method can be selected according to the practical application. The present embodiment takes FFT processing as an example. In addition, the number of slave processors in this embodiment is 2, but not limited.
Step 1.2: and the main processor performs signal detection on the data subjected to FFT or channelization to obtain an FFT path or channel number of an effective signal, and sends the FFT path or channel number to the auxiliary processor in real time through the high-speed transceiver.
In this embodiment, the master processor performs signal threshold detection on the FFT result (for example, but not limited to, it may be selected according to actual application), determines that the signal is an effective signal above the threshold, and simultaneously gives the FFT diameter where the signal is located, and sends the information to each slave processor in real time through the high-speed LVDS bus, requesting each slave processor to select data according to the FFT diameter or channel number.
Step 1.3: and the master processor and the slave processor select data of the corresponding FFT paths or channels according to the FFT paths or channel numbers obtained in the step 1.2 and send the data to the fusion processor in real time through the high-speed transceiver. It should be noted that the data transmission here is continuous.
Step 2: the main processor calculates the frequency, pulse width, arrival time and other information of the effective signals to form PDW and sends the PDW to the fusion processor in real time through the high-speed transceiver.
And step 3: the fusion processor calculates an arrival angle and a signal amplitude according to the received PDW information and effective signal data to generate a fused PDW, and the method specifically comprises the following steps:
step 3.1: and the fusion processor captures data sent by the master processor and the slave processor according to the received PDW of the master processor.
Specifically, each time the fusion processor receives the PDW of the master processor, the fusion processor simultaneously generates a valid flag, and valid signal data sent from the master processor and the slave processor are taken out within a certain time range of the valid flag. The time range needs to be determined according to actual conditions, and the vicinity of unstable front and back edges of the pulse signal is avoided as much as possible, so that the measurement accuracy of the arrival time and the pulse amplitude is improved.
Step 3.2: and the fusion processor calculates the arrival angle and the amplitude of the signal according to the captured amplitude-phase information of the data of the master processor and the slave processor, and forms the fused PDW by combining the PDW information received in the step 3.1.
After capturing data each time, first, magnitude and phase information of the captured data is calculated, and taking the captured master processor data as an example (the magnitude and phase calculation method of the captured slave processor data is the same as that), it is marked as Xreal+jXimagWherein X isrealIs the real part of data, XimagFor the imaginary part of the data, the amplitude can be obtained as
Figure BDA0003070610050000031
Figure BDA0003070610050000032
Phase of Xφ=tan-1(Ximag/Xreal). Then, according to the amplitude-phase information, a common amplitude comparison method, a common phase comparison method and other direction finding methods are used for calculating the current pulse arrival angle; and comparing the amplitude values of the currently captured master and slave processor data, and taking the maximum value of the amplitude values as the pulse amplitude of the current PDW. Finally, the obtained pulse arrival angle and pulse amplitude are combined with the rest of the PDW information (including frequency, pulse width, arrival time, etc.) received in step 3.1, so as to form a fused PDW (including frequency, pulse amplitude, pulse width, arrival time, arrival angle, etc.).

Claims (6)

1. An ultra-wideband PDW real-time fusion method is characterized by comprising the following specific steps:
step 1: the master processor and the slave processor select effective signal data and send the effective signal data to the fusion processor in real time;
step 2: the main processor calculates the frequency, pulse width and arrival time of the effective signals to form PDW and sends the PDW to the fusion processor in real time;
and step 3: and the fusion processor calculates the arrival angle and the signal amplitude according to the received PDW information and the effective signal data to generate a fused PDW.
2. The ultra-wideband PDW real-time fusion method as claimed in claim 1, wherein the master and slave processors select effective signal data and send the effective signal data to the fusion processor in real time by the specific method:
step 1.1: the master processor and the slave processor respectively carry out FFT or channelization processing on the sampling data of the sensor;
step 1.2: the main processor performs signal detection on the data subjected to FFT or channelization to obtain an FFT path or channel number of an effective signal, and sends the FFT path or channel number to the auxiliary processor in real time;
step 1.3: and the master processor and the slave processor select data of the corresponding FFT paths or channels according to the FFT paths or channel numbers obtained in the step 1.2 and send the data to the fusion processor in real time.
3. The ultra-wideband PDW real-time fusion method of claim 1, wherein the data selected from the master and slave processors are sent to the fusion processor in real-time via the high-speed transceiver.
4. The ultra-wideband PDW real-time fusion method as claimed in claim 2, wherein the FFT path or channel number of the effective signal obtained by the master processor is transmitted to the slave processor in real time through the high-speed transceiver.
5. The real-time fusion method of the ultra-wideband PDW as claimed in claim 1, wherein the fusion processor calculates the arrival angle and the signal amplitude according to the received PDW information and the effective signal data, and the specific steps of generating the fused PDW are as follows:
step 3.1: the fusion processor captures data sent by the master processor and the slave processor according to the received PDW of the master processor;
step 3.2: and the fusion processor calculates the arrival angle and the amplitude of the signal according to the captured amplitude-phase information of the data of the master processor and the slave processor, and forms the fused PDW by combining the PDW information received in the step 3.1.
6. The real-time fusion method of the ultra-wideband PDW as claimed in claim 5, wherein the fusion processor calculates the arrival angle and amplitude of the signal according to the captured amplitude and phase information of the data of the master and slave processors, and the specific method for forming the fused PDW by combining the PDW information received in step 3.1 is as follows:
after data is captured each time, calculating the amplitude-phase information of the captured data;
obtaining the current pulse arrival angle by using a amplitude comparison method or a phase comparison method according to the amplitude-phase information;
comparing amplitude values of currently captured master and slave processor data, and taking the maximum value of the amplitude values as the pulse amplitude of the current PDW;
and combining the obtained pulse arrival angle and pulse amplitude with the rest of PDW information received in the step 3.1 to form a fused PDW.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5121413A (en) * 1990-03-05 1992-06-09 Motorola, Inc. Digital pulse processor for determining leading and trailing time-of-arrival
KR20130045597A (en) * 2011-10-26 2013-05-06 국방과학연구소 Method and device for receiving a radar signal digitally based on multi-channel
KR20140039894A (en) * 2012-09-25 2014-04-02 국방과학연구소 Digital receiver and signal processing method thereof
CN106383338A (en) * 2016-11-17 2017-02-08 中国电子科技集团公司第四十研究所 Multichannel radar signal acquisition device based on digital channelization
CN107656245A (en) * 2017-08-22 2018-02-02 哈尔滨工程大学 A kind of method being applied to information fusion in radar signal sorting
CN107819453A (en) * 2016-09-12 2018-03-20 波音公司 For parallelization and the system and method for pipelining tunable blind source separating filtering device
CN111025240A (en) * 2019-12-31 2020-04-17 南京国立电子科技有限公司 Multi-channel radar radio frequency signal digital receiving system
CN111413675A (en) * 2020-04-10 2020-07-14 扬州宇安电子科技有限公司 Signal acquisition equipment and acquisition method thereof
CN111751792A (en) * 2020-06-15 2020-10-09 哈尔滨工程大学 Passive radar signal sorting PDW preprocessing method
CN111983566A (en) * 2019-05-21 2020-11-24 波音公司 System and method for stream-wise detection of pulses in a received signal

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5121413A (en) * 1990-03-05 1992-06-09 Motorola, Inc. Digital pulse processor for determining leading and trailing time-of-arrival
KR20130045597A (en) * 2011-10-26 2013-05-06 국방과학연구소 Method and device for receiving a radar signal digitally based on multi-channel
KR20140039894A (en) * 2012-09-25 2014-04-02 국방과학연구소 Digital receiver and signal processing method thereof
CN107819453A (en) * 2016-09-12 2018-03-20 波音公司 For parallelization and the system and method for pipelining tunable blind source separating filtering device
CN106383338A (en) * 2016-11-17 2017-02-08 中国电子科技集团公司第四十研究所 Multichannel radar signal acquisition device based on digital channelization
CN107656245A (en) * 2017-08-22 2018-02-02 哈尔滨工程大学 A kind of method being applied to information fusion in radar signal sorting
CN111983566A (en) * 2019-05-21 2020-11-24 波音公司 System and method for stream-wise detection of pulses in a received signal
CN111025240A (en) * 2019-12-31 2020-04-17 南京国立电子科技有限公司 Multi-channel radar radio frequency signal digital receiving system
CN111413675A (en) * 2020-04-10 2020-07-14 扬州宇安电子科技有限公司 Signal acquisition equipment and acquisition method thereof
CN111751792A (en) * 2020-06-15 2020-10-09 哈尔滨工程大学 Passive radar signal sorting PDW preprocessing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张勇强 等: "基于数字信道化接收机的聚类分选算法", 《中国电子科学研究院学报》, vol. 12, no. 02, pages 1 - 6 *

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