• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2883-2902
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• 2023

Since the existing anti-jamming methods, including intelligent methods, have difficulty against high-speed reactive jamming, we studied a new methodology for jamming utilization instead of avoiding jamming. Different from the existing jamming utilization techniques that harvest energy from the jamming signal as a power supply, our proposed method can take the jamming signal as a favorable factor for frequency detection. Specifically, we design an intelligent differential frequency hopping communication framework (IDFH), which contains two stages of training and communication. We first adopt supervised learning to get the jamming rule during the training stage when the synchronizing sequence is sent. And then, we utilize the jamming rule to improve the frequency detection during the communication stage when the real payload is sent. Simulation results show that the proposed method successfully combated high-speed reactive jamming with different parameters. And the communication performance increases as the power of the jamming signal increase, hence the jamming signal can help users communicate in a low signal-to-noise ratio (SNR) environment.

• Journal of Information Processing Systems
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• 제18권1호
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• pp.89-96
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• 2022

A novel multistage pulse jamming suppression algorithm was proposed to solve the anti-pulse jamming problem encountered in navigation receivers. Based on the characteristics of the short duration of pulse jamming and distribution characteristics of satellite signals, the pulse jamming detection threshold was derived. From the experiments, it was found that the randomness of pulse jamming affects jamming suppression. On this basis, the principle of the multistage anti-pulse jamming algorithm was established. The effectiveness of the anti-jamming algorithm was verified through experiments. The characteristics of the algorithm include simple determination of jamming detection threshold, easy programming, and complete suppression of pulse jamming.

• Journal of Positioning, Navigation, and Timing
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• 제12권3호
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• pp.229-236
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• 2023

As the importance and dependency of the positioning, navigation, and timing (PNT) information provided by the radio navigation satellite service (RNSS) increases, the vulnerability of RNSS to jamming can lead to significant risks. The signal design under the consideration of anti-jamming performance helps to provide service which is robust to jamming environment. Therefore, it is necessary to evaluate the jamming robustness performance during the design of new signals. In this paper, we introduce figures-of-merit (FoMs) that can be used for an anti-jamming performance analysis of designed signals of interest. We then calculate the FoMs, such as the quality factor (Q factor), tolerable jamming-to-signal ratio (tolerable J/S), and range to jammer (d) for legacy RNSS signals and analyze the results. Finally, based on the results of the analysis, we derive waveform design conditions to obtain good anti-jamming performance. As a result, this paper shows that the waveforms with wide bandwidth leading to good spectral efficiency provide strong anti-jamming performance.

• 한국군사과학기술학회지
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• 제21권1호
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• pp.115-123
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• 2018

In this paper, we consider the applicability of time-hopping(TH) systems for anti-jamming(AJ) communication. We first briefly summarize fundamentals of TH systems and several common jamming scenarios that have been considered in the literature. We then analyze the AJ performance of TH systems under those common jamming environments. From our simulation results, we reveal that among narrow band, partial band, broadband, and sweep jamming, partial band and sweep jamming are the best ones from jammer perspective. For the partial band jamming case, we show that the most effective bandwidth ratio and location are 50 % and 2.5-3.5 Ghz, respectively. For the sweep jamming case, we illustrate that the AJ performance of the TH system is enhanced when the sweep duration approaches to the bit duration. In addition, we pointed out that the most efficient jamming bandwidth ratio is 1/2. Finally, our results show that the TH-BPSK system greatly outperforms the TH-PPM counterpart.

• 인터넷정보학회논문지
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• 제23권1호
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• pp.113-124
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• 2022

전시 상황에서 군용 항공기의 통신 시스템은 재밍(Jamming)에 노출되어 있으며, 아군의 무선통신에 대한 재밍 시도가 있는 환경에서도 원활한 항공작전을 수행하기 위해서는 항재밍 성능이 높은 통신장비를 탑재하는 것이 필요하다. 본 논문에서는 무선통신에 적용될 수 있는 재밍과 항재밍(Anti-Jamming) 기술에 대해 세부적으로 확인하고, 주파수 도약 방식 차세대 항재밍 무전기의 제원 차이와 이러한 변화에 따른 항재밍 성능 개선에 대해 공개된 자료 범위 내에서 간략하게 분석하였다. 또한 국산 신형 항공기 설계 시 고려해야 할 점과 현재 운영중인 항공기에 차세대 항재밍 통신장비 탑재 가능성을 확인하였으며 차세대 항재밍 통신장비의 항재밍 능력 향상이 갖는 전술적 유용성에 대해 확인하였다.

• Journal of Positioning, Navigation, and Timing
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• 제11권3호
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• pp.163-172
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• 2022

Typical anti-jamming technologies based on array antennas, Space Time Adaptive Process (STAP) & Space Frequency Adaptive Process (SFAP), are very effective algorithms to perform nulling and beamforming. However, it does not perform equally well for all types of jamming signals. If the anti-jamming algorithm is not optimized for each signal type, anti-jamming performance deteriorates and the operation stability of the system become worse by unnecessary computation. Therefore, jamming classification technique is required to obtain optimal anti-jamming performance. Machine learning, which has recently been in the spotlight, can be considered to classify jamming signal. In general, performing supervised learning for classification requires a huge amount of data and new learning for unfamiliar signal. In the case of jamming signal classification, it is difficult to obtain large amount of data because outdoor jamming signal reception environment is difficult to configure and the signal type of attacker is unknown. Therefore, this paper proposes few-shot jamming signal classification technique using meta-learning and transfer-learning to train the model using a small amount of data. A training dataset is constructed by anti-jamming algorithm input data within the GNSS receiver when jamming signals are applied. For meta-learning, Model-Agnostic Meta-Learning (MAML) algorithm with a general Convolution Neural Networks (CNN) model is used, and the same CNN model is used for transfer-learning. They are trained through episodic training using training datasets on developed our Python-based simulator. The results show both algorithms can be trained with less data and immediately respond to new signal types. Also, the performances of two algorithms are compared to determine which algorithm is more suitable for classifying jamming signals.

• 전자공학회논문지
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• 제52권12호
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• pp.55-63
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• 2015

최근 무선통신 장비를 이용하여 원격으로 폭발시킬 수 있는 무선 급조폭발물 (RCIED)에 의한 테러의 위협이 전 세계적으로 증가하고 있다. 이에 대응하기 위해 급조폭발물을 기폭 시키는 무선 트리거 신호를 정상적으로 수신하지 못하게 하는 재밍 기법이 사용되고 있다. 기존의 재밍 기법으로는 전 대역에 항상 재밍 신호를 방출하는 상시 광대역 재밍(active barrage jamming) 기법이 주로 사용되고 있으나, 전력 소모가 매우 커서 주요 운송 수단인 차량 탑재용으로 사용하기에는 운용시간이 너무 짧다는 단점이 있다. 이러한 기존 기법의 단점을 극복하기 위하여 최근에 반응 재밍(reactive jamming) 기법이 관심을 받고 있다. 반응 재밍은 폭발 트리거 신호를 감지하여 신호가 존재하는 대역을 선별적으로 대응하는 재밍 기법으로서, 기존 재밍기법에 비해 전력 효율이 높기 때문에 차량 탑재용으로도 운용 시간을 대폭 늘릴 수 있다. 하지만, 반응 재밍은 폭발 트리거 신호를 포착한 뒤 재밍 신호를 방사하기 때문에, 폭발 트리거 신호 환경에 대한 정보를 바탕으로 반응 재밍이 이루어져야 하는 반응시간에 대한 기준이 필요하다. 이를 위해서 본 논문에서는 반응 재밍을 활용할 수 있는 이동통신 환경에 대해서 필요한 반응시간을 이동통신 시스템에서의 호 처리시간(call processing time) 정보를 바탕으로 도출하고, 반응 재밍에서 사용될 수 있는 repeater 재밍에 대해 시뮬레이션을 통해 성능 분석을 수행한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권7호
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• pp.3333-3350
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• 2019

The smart jammer launches jamming attacks which degrade the transmission reliability. In this paper, smart jamming attacks based on the communication probability over different channels is considered, and an anti-jamming Q learning algorithm (AQLA) is developed to obtain anti-jamming knowledge for the local region. To accelerate the learning process across multiple regions, a multi-regional intelligent anti-jamming learning algorithm (MIALA) which utilizes transferred knowledge from neighboring regions is proposed. The MIALA algorithm is evaluated through simulations, and the results show that the it is capable of learning the jamming rules and effectively speed up the learning rate of the whole communication region when the jamming rules are similar in the neighboring regions.

• 한국위성정보통신학회논문지
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• 제11권3호
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• pp.32-36
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• 2016

무선 통신 시스템에서 재밍 공격은 통신 성능을 심각하게 저하시킬 수 있는 치명적 위협이다. 특히 반응 재밍은 송신기와 수신기가 통신할 때만 재밍할 수 있기 때문에 반응 재밍을 통해 공격 효율을 극대화할 수 있다. 본 논문에서 반응 재밍의 공격 효과를 저감시키기 위해 multi-input multi-output (MIMO) 기반의 orthogonal frequency-division multiplexing (OFDM) 통신 기술의 특징을 활용하고, 이에 기반한 반복적 채널 추정 알고리즘을 제안하였다. 실험 결과를 통해 본 논문에서 제안한 알고리즘과 기존 항재밍 알고리즘을 비교하였으며, 반응 재밍 공격이 있는 MIMO-OFDM 통신 시스템에서 제안한 알고리즘의 우수성을 입증한다.