CN110927451B - Distributed signal fusion method for electromagnetic spectrum monitoring receiver - Google Patents

Distributed signal fusion method for electromagnetic spectrum monitoring receiver Download PDF

Info

Publication number
CN110927451B
CN110927451B CN201911186400.5A CN201911186400A CN110927451B CN 110927451 B CN110927451 B CN 110927451B CN 201911186400 A CN201911186400 A CN 201911186400A CN 110927451 B CN110927451 B CN 110927451B
Authority
CN
China
Prior art keywords
signal
edge
count
fusion
electromagnetic spectrum
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
Application number
CN201911186400.5A
Other languages
Chinese (zh)
Other versions
CN110927451A (en
Inventor
刘德鹏
贺永红
许建华
杜会文
向长波
陈安军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CLP Kesiyi Technology Co Ltd
Original Assignee
China Electronics Technology Instruments Co Ltd CETI
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Electronics Technology Instruments Co Ltd CETI filed Critical China Electronics Technology Instruments Co Ltd CETI
Priority to CN201911186400.5A priority Critical patent/CN110927451B/en
Publication of CN110927451A publication Critical patent/CN110927451A/en
Application granted granted Critical
Publication of CN110927451B publication Critical patent/CN110927451B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/16Spectrum analysis; Fourier analysis

Landscapes

  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Time-Division Multiplex Systems (AREA)

Abstract

The invention discloses a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, belonging to the field of electromagnetic spectrum monitoring, distributed sensing and edge calculation, and comprising the following steps: listing all signals received from each distributed node into a signal list; sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal; initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met; when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal. The invention relates to a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, which can fuse all superposed signals only by once circulation; the algorithm operation amount is obviously reduced, and the signal fusion speed is greatly improved; the algorithm has clear and simple logic, easy realization and strong stability.

Description

Distributed signal fusion method for electromagnetic spectrum monitoring receiver
Technical Field
The invention belongs to the field of electromagnetic spectrum monitoring, distributed sensing and edge calculation, and particularly relates to a distributed signal fusion method for an electromagnetic spectrum monitoring receiver.
Background
In the process of distributed spectrum monitoring and analysis, a small amount of deviation may exist in the signal results transmitted to the downstream module by different detection algorithm modules or distributed edge computing nodes, and the same signal is displayed as different signals with partial superposition, as shown in fig. 1. Before presenting the signals to the user, it is necessary to merge signals where there is partial coincidence into one and the same signal. Disadvantages of the prior art methods: (1) the coincidence relation between different signals needs to be compared for many times, the cycle number increases exponentially along with the number of the signals, and the calculation amount is large. (2) Due to various signal superposition modes, the traditional method has complex discrimination rules, large code compiling workload and easy fusion error.
In order to improve the accuracy of monitoring the spectrum signals and expand the monitoring range, a spectrum monitoring task is developed from a single sensing node to a direction from distributed node sensing, single algorithm detection of suspicious signals to multi-algorithm cooperative detection of signals. However, the distributed sensing and multi-algorithm detection mechanism brings new problems: the result signals output by different sensing nodes and different upstream detection algorithm modules are not completely the same, and usually the result signals output by different sensing nodes or different upstream detection algorithm modules are overlapped but have a certain offset, as shown in fig. 2.
In the prior art, a traversal comparison mode is adopted, the coincident signals are fused after being found, then the list is updated, and the traversal process is repeated on the new list until no coincident signal exists in the list. The implementation flow of the prior art solution is shown in fig. 3. As can be seen from FIG. 3, the existing algorithm is very complex, requires multiple cycles and comparisons, and is computationally expensive. In addition, the existing algorithm has complex flow and high programming difficulty, and is easy to cause errors.
The prior art has the following disadvantages:
(1) the calculation amount is large, and when the number of signals is large, the calculation speed is very time-consuming.
(2) The logic structure is complex, so that the program is easy to make mistakes and has low stability.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a distributed signal fusion method of an electromagnetic spectrum monitoring receiver, which is reasonable in design, overcomes the defects of the prior art and has a good effect.
In order to achieve the purpose, the invention adopts the following technical scheme:
a distributed signal fusion method for an electromagnetic spectrum monitoring receiver comprises the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
The invention has the following beneficial technical effects:
(1) a distributed signal fusion method of an electromagnetic spectrum monitoring receiver can fuse all superposed signals only by once circulation.
(2) The algorithm operation amount is obviously reduced, and the signal fusion speed is greatly improved.
(3) The algorithm logic is clear and simple, the implementation is easy, and the program stability is strong.
Drawings
Fig. 1 is a schematic diagram of a coincidence signal.
Fig. 2 is a schematic diagram of fusion of output signals of different algorithm modules or nodes.
Fig. 3 is a flowchart of a conventional fusion method.
Fig. 4 is a schematic diagram of a signal fusion process.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
a distributed signal fusion method for an electromagnetic spectrum monitoring receiver, as shown in fig. 4, includes the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
The invention takes the type of the signal edge (the initial edge or the cut-off edge) as the basis of signal fusion, which is different from the traditional method which takes the frequency range value of the signal as the basis; the counting of the edges is taken as a fusion criterion, which is different from any fusion method in the past.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.

Claims (1)

1. A distributed signal fusion method for an electromagnetic spectrum monitoring receiver is characterized by comprising the following steps: the method comprises the following steps:
step 1: listing all signals into a signal list;
step 2: sorting all signal edges in the signal list from small to large, and marking whether the edge is a starting edge or a cut-off edge of the signal;
and step 3: initializing the edge count to be 0, traversing the edge from small to large, adding 1 to the count when a signal initial edge is met, and subtracting 1 from the count when a signal cutoff edge is met;
and 4, step 4: when the count changes from 0 to 1, it is recorded as the start of the fusion signal; when the count changes from 1 to 0, it is recorded as the end of the fusion signal.
CN201911186400.5A 2019-11-28 2019-11-28 Distributed signal fusion method for electromagnetic spectrum monitoring receiver Active CN110927451B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911186400.5A CN110927451B (en) 2019-11-28 2019-11-28 Distributed signal fusion method for electromagnetic spectrum monitoring receiver

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911186400.5A CN110927451B (en) 2019-11-28 2019-11-28 Distributed signal fusion method for electromagnetic spectrum monitoring receiver

Publications (2)

Publication Number Publication Date
CN110927451A CN110927451A (en) 2020-03-27
CN110927451B true CN110927451B (en) 2021-08-13

Family

ID=69847233

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911186400.5A Active CN110927451B (en) 2019-11-28 2019-11-28 Distributed signal fusion method for electromagnetic spectrum monitoring receiver

Country Status (1)

Country Link
CN (1) CN110927451B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103345480A (en) * 2013-06-19 2013-10-09 西北工业大学 Method for predicating data flows based on rule merging
CN103345520A (en) * 2013-07-16 2013-10-09 五八同城信息技术有限公司 Method for dynamically dividing parameter screening interval according to real-time data distribution
CN103477550A (en) * 2012-02-23 2013-12-25 株式会社京三制作所 Current source inverter device, and method for controlling current source inverter device
CN103957065A (en) * 2014-05-20 2014-07-30 成都瀚德科技有限公司 Full-time frequency spectrum monitoring method
CN104363064A (en) * 2014-10-14 2015-02-18 中国人民解放军总参谋部第六十三研究所 Cooperative spectrum sensing method based on preference users
CN107994896A (en) * 2017-11-07 2018-05-04 湖北三江航天万峰科技发展有限公司 A kind of multi-channel high-speed pulse counting system and method for counting
CN108810907A (en) * 2017-04-26 2018-11-13 中国联合网络通信集团有限公司 A kind of merging method of virtual subdistrict, device and network system
CN109640132A (en) * 2018-12-21 2019-04-16 江西华兴信息产业有限公司 A kind of program plays scheduling method and equipment
CN110099308A (en) * 2019-05-15 2019-08-06 浙江传媒学院 A kind of audio/video program temperature section Fast Segmentation and extracting method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8614744B2 (en) * 2008-07-21 2013-12-24 International Business Machines Corporation Area monitoring using prototypical tracks
US9588978B2 (en) * 2013-09-30 2017-03-07 International Business Machines Corporation Merging metadata for database storage regions based on overlapping range values

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103477550A (en) * 2012-02-23 2013-12-25 株式会社京三制作所 Current source inverter device, and method for controlling current source inverter device
CN103345480A (en) * 2013-06-19 2013-10-09 西北工业大学 Method for predicating data flows based on rule merging
CN103345520A (en) * 2013-07-16 2013-10-09 五八同城信息技术有限公司 Method for dynamically dividing parameter screening interval according to real-time data distribution
CN103957065A (en) * 2014-05-20 2014-07-30 成都瀚德科技有限公司 Full-time frequency spectrum monitoring method
CN104363064A (en) * 2014-10-14 2015-02-18 中国人民解放军总参谋部第六十三研究所 Cooperative spectrum sensing method based on preference users
CN108810907A (en) * 2017-04-26 2018-11-13 中国联合网络通信集团有限公司 A kind of merging method of virtual subdistrict, device and network system
CN107994896A (en) * 2017-11-07 2018-05-04 湖北三江航天万峰科技发展有限公司 A kind of multi-channel high-speed pulse counting system and method for counting
CN109640132A (en) * 2018-12-21 2019-04-16 江西华兴信息产业有限公司 A kind of program plays scheduling method and equipment
CN110099308A (en) * 2019-05-15 2019-08-06 浙江传媒学院 A kind of audio/video program temperature section Fast Segmentation and extracting method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于数据融合的协作频谱检测算法的研究;明兰;《中国优秀硕士学位论文全文数据库 信息科技辑》;20140415;全文 *

Also Published As

Publication number Publication date
CN110927451A (en) 2020-03-27

Similar Documents

Publication Publication Date Title
WO2021018141A1 (en) Multi-target pedestrian tracking method and apparatus, and device
CN108255728B (en) Method and device for identifying failure mode of software
CN107844415B (en) Model detection path reduction method based on interpolation and computer
CN102546639B (en) Network-oriented penetration testing scheme automatic-generation method
CN112528926B (en) Method, device, equipment and storage medium for detecting signal lamp image abnormality
CN105549487A (en) Digital signal edge delay correction system and method
CN110808084A (en) Copy number variation detection method based on single-sample second-generation sequencing data
CN111914260B (en) Binary program vulnerability detection method based on function difference
D'Innocenzo et al. Robust PCTL model checking
CN105931267A (en) Moving object detection and tracking method based on improved ViBe algorithm
CN105245203A (en) System and method for duty ratio detection employing high precision and low speed clock
CN110927451B (en) Distributed signal fusion method for electromagnetic spectrum monitoring receiver
CN106643628A (en) Angle detection method and electronic device applying same
EP4071616A1 (en) Method for generating topology diagram, anomaly detection method, device, apparatus, and storage medium
CN112181679B (en) Rocket data processing method and device, computer storage medium and electronic equipment
CN103019233A (en) Method for detecting whether race condition exists in PLC (programmable logic controller) ladder diagram program or not
CN103198016A (en) Software error positioning method based on joint dependent probability modeling
CN118035265B (en) Dynamic database-based parameter record change dynamic processing method
CN110176132B (en) Bayesian network-based logic alarm root cause analysis method and system
CN101894072A (en) Method for detecting abnormal termination during model detection
CN102982282A (en) Program bug detection system and method
CN110808965A (en) Debugging method and device of monitoring system
US11984021B2 (en) Infrared remote control code matching method and apparatus, computer device, and readable storage medium
CN103869156B (en) A kind of two mixing time difference measurement method and measuring system
CN103885778A (en) Grating subdividing and direction judging method

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
CP01 Change in the name or title of a patent holder

Address after: 266555 No. 98 Xiangjiang Road, Huangdao District, Qingdao City, Shandong Province

Patentee after: CLP kesiyi Technology Co.,Ltd.

Address before: 266555 No. 98 Xiangjiang Road, Huangdao District, Qingdao City, Shandong Province

Patentee before: CHINA ELECTRONICS TECHNOLOGY INSTRUMENTS Co.,Ltd.

CP01 Change in the name or title of a patent holder