Fusion Method of Primary Surveillance Radar Data and IFF systems Data

Svyd, Iryna; Maltsev, Oleksandr; Обод, Іван; Zavolodko, Ganna

doi:10.1109/dessert50317.2020.9125040

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…The type of likelihood function depends on the statistical characteristics of the signals and interference, the shape of the antenna system pattern, as well as the method of scanning the SS antenna during the measurement process. Thus, when generating AO detection signals from the output of the AO coordinate meter of each channel of a compatible radar surveillance system, an estimate of the coordinate measurement vector  is issued, which is characterized by a correlation matrix of errors  С  [11][12][13]. Based on the above, the information will be provided with partial indicators of the quality of information support will be the quality of the assessment of the coordinates of the observed air objects and the probability of correct detection of AO by each radar channel under consideration.…”

Section: Research Resultsmentioning

confidence: 99%

“…As shown in [12][13][14], an integral indicator of the quality of information support of the airspace control system can be the probability of information support, which, for the general case, can be written as follows The probability of comparing the coordinate information of the primary radar systems and identification systems por P acts as the probability of combining the information of the considered information systems. Further we will consider the issue of combining information without taking into account the information transmitted in the channel of identification systems.…”

Section: Research Resultsmentioning

confidence: 99%

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Assessment of the Quality of Information Support by Air Radar Surveillance Systems

Андрусевич

Обод

2021

A.I.S.

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The paper pays attention to the consideration of the structure of user's information support of the airspace control system at the stage of primary information processing by the joined radar system. This system includes a primary and identification surveillance system, which allows considering the overall structure as a single synchronous network of surveillance information systems. Such a structure can be characterized by an overall integrated quality indicator of the information support of the airspace control system. Such a quality indicator can be the probability of information support, which is the product of the probabilities of correct detection of an air object by the primary radar and identification system on the basis of "friend-foe" and the probability of comparing the coordinate information of primary radar systems and identification systems. This approach allows changing the model of combining information for primary radar systems and identification systems so as to take into account the estimated coordinates of the air object by both information systems due to the weight combination of coordinates of air objects. The calculation of the coordinates of air objects according to the information of the primary radar systems and identification systems allows improving the quality of information support for decision makers in the air traffic control system.

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Section: Research Resultsmentioning

confidence: 99%

Section: Research Resultsmentioning

confidence: 99%

Assessment of the Quality of Information Support by Air Radar Surveillance Systems

Андрусевич

Обод

2021

A.I.S.

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“…IFF is mainly realized through interrogating mechanism, which sends encoded interrogations and receives encoded responses to the transponder in different ways, and these ways have different characteristics [8]. In recent years, many domestic and foreign studies have been conducted on the identification of airborne targets as friend or foe [4], [9]. Target detection and attribute identification are required before the identification of friend or foe.…”

Section: Introductionmentioning

confidence: 99%

“…Target detection and attribute identification are required before the identification of friend or foe. At present, the air target attribute identification is mainly carried out by the method of multi-source information fusion [1]- [4]. This method can overcome the shortcomings of a single sensor in the identification accuracy, reliability, integrity and other aspects, and can adapt to the complex air combat environment at the same time.…”

Section: Introductionmentioning

confidence: 99%

Improve Sensing and Communication Performance of UAV via Integrated Sensing and Communication

Jiang

Wang

Wei

et al. 2021

2021 IEEE 21st International Conference on Communication Technology (ICCT)

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The unmanned aerial vehicle (UAV) needs to sense the environment to ensure safe flight, and the sensing accuracy and communication delay performance are two important indicators of safe flight. The strategy of using integrated sensing and communication (ISAC) technology to improve the sensing and communication performance is proposed in this paper. On the one hand, the extended kalman filter (EKF) algorithm is adopted to achieve the fusion of communication location information and sensing information to improve the accuracy of target sensing. On the other hand, a Identification Friend or Foe (IFF) method based on ISAC is proposed to reduce communication delay. Compared with the traditional IFF method, the integrated technology used for IFF can realize the radar sensing and communication interrogating functions in parallel, greatly shortening the sensing time. Simulation results show that using ISAC technology, the sensing performance of UAV has been greatly improved, the communication delay can be reduced by up to 50%, the accuracy of target sensing can be improved by 24.2% when communication location information and radar sensing information have the same sensing accuracy.

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“…Така побудова літакового відповідача викликає суттєві недоліки в безпеці як його, так і безпеки всієї системи IFF. Використання ж єдиної частоти у запитальному каналі систем, що розглядаються, призводить до високої щільності сигналів запиту і, як наслідок, до внутрісистемних завад [20] значної інтенсивності. Зазначені фактори призводять до зниження якості обробки сигнальних даних.…”

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Method for increasing noise immunity of radar "friend or foe" identification systems under the action of intentional correlated interference

Svyd¹,

Обод²,

Maltsev³

et al. 2021

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The paper analyzes the principles of construction and structure of "friend or foe" identification systems. It is revealed, that the party, interested in the existing system, has the ability of unauthorized use of this information resource for long-range determination of air objects coordinates, on the one hand, and distortion of information of this information resource, on the other hand, which leads to unpredictable consequences. It is shown, that the most vulnerable place in the "friend or foe" identification systems is the aircraft transponder, which significantly affects noise stability and noise immunity of the identification systems of air objects. The paper proposes a method of hereditary transition to noise-immune "friend or foe" identification systems based on synchronous networks of identification systems, which allows expanding significantly the methods of servicing requests and methods of constructing systems. This method of constructing identification systems eliminates the existing problem of dispersed identification systems, as well as the problem of temporal matching of signals coming from primary and secondary radar systems. The proposed method of hereditary transition to noise-immune "friend or foe" identification systems makes it possible to exclude the possibility of unauthorized access to identification information resources by an interested party, significantly increases the noise immunity of the identification system as a whole.

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Fusion Method of Primary Surveillance Radar Data and IFF systems Data

Cited by 8 publications

References 20 publications

Assessment of the Quality of Information Support by Air Radar Surveillance Systems

Assessment of the Quality of Information Support by Air Radar Surveillance Systems

Improve Sensing and Communication Performance of UAV via Integrated Sensing and Communication

Method for increasing noise immunity of radar "friend or foe" identification systems under the action of intentional correlated interference

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