• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3444-3457
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• 2021

In the field of anti-jamming based on dynamic spectrum, most methods try to improve the ability to avoid jamming and seldom consider whether the jammer would perceive the user's signal. Although these existing methods work in some anti-jamming scenarios, their long-term performance may be depressed when intelligent jammers can learn user's waveform or decision information from user's historical activities. Hence, we proposed a hidden anti-jamming method to address this problem by reducing the jammer's sense probability. In the proposed method, the action correlation between the user and the jammer is used to evaluate the hiding effect of the user's actions. And a deep reinforcement learning framework, including specific action correlation calculation and iteration learning algorithm, is designed to maximize the hiding and communication performance of the user synchronously. The simulation result shows that the algorithm proposed reduces the jammer's sense probability significantly and improves the user's anti-jamming performance slightly compared to the existing algorithms based on jamming avoidance.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.341-345
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• 2006

The GPS is widely used in various parts, therefore it is required higher integrity and continuity. These integrity and continuity are threatened by outer jamming signals which are intended or not. And various anti-jamming ways have been studied to remove these jamming signals. In this paper, we are going to test the efficiency of the anti-jamming algorithm in space and time-space domain, and analyze

• ETRI Journal
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• 제41권3호
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• pp.316-325
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• 2019

Accurate suppressive jamming is a prominent problem faced by radar equipment. It is difficult to solve signal detection problems for extremely low signal to noise ratios using traditional signal processing methods. In this study, a joint sensing dictionary based compressed sensing and adaptive iterative optimization algorithm is proposed to counter suppressive jamming in information domain. Prior information of the linear frequency modulation (LFM) and suppressive jamming signals are fully used by constructing a joint sensing dictionary. The jamming sensing dictionary is further adaptively optimized to perfectly match actual jamming signals. Finally, through the precise reconstruction of the jamming signal, high detection precision of the original LFM signal is realized. The construction of sensing dictionary adopts the Pei type fast fractional Fourier decomposition method, which serves as an efficient basis for the LFM signal. The proposed adaptive iterative optimization algorithm can solve grid mismatch problems brought on by undetermined signals and quickly achieve higher detection precision. The simulation results clearly show the effectiveness of the method.

• 한국위성정보통신학회논문지
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• 제10권2호
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• pp.14-18
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• 2015

최근 전자전은 현대전의 핵심으로 자리매김하고 있으며 미래 전투체계인 네트워크 중심전에 따른 통신 생존의 중요성은 나날이 부각되고 있다. 본 논문에서는 GPS 재밍 등 군통신에서 사용되는 전자 방해책인 재밍 기술을 효과적으로 제거할 수 있는 항재밍 방안에 대해 제안하기 위해 부분대역 재밍 환경과 군통신에 널리 사용되는 IEEE 802.16 WiMAX 프로토콜을 고려하였다. 기존의 주파수 도약 방법과는 다른 부채널화를 통한 알고리즘을 제안하였으며, 제안한 알고리즘의 성능 확인을 위해 부분대역 재밍 파라미터에 따른 최대 채널용량에 해당하는 최대 부채널 개수를 확인할 수 있었다.

• Journal of Positioning, Navigation, and Timing
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• 제8권3호
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• pp.95-105
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• 2019

A method that applies space-time adaptive signal processing (STAP) algorithm based on an array antenna consisting of multiple antenna elements has been known to be effective to remove wide-band jamming signals in GPS receivers. However, the occurrence of phase distortion in navigation signals has been a problem when navigation signals, from which jamming signals are removed using STAP, are supplied to global positioning system (GPS) receivers. This paper verified the navigation performance degradation as a result of phase distortion. To mitigate this phenomenon, this paper proposes a mode switching scheme, in which a bypass mode is adopted to make the best use of the tracking performance of receivers without performing signal processing when jamming signals are not present or weak, and a STAP mode is employed when jamming signals exceed the threshold value. In this paper, the mode switching scheme is proposed for two environments: when receivers are stationary, and when receivers are moving. This paper confirmed that the performance of position error improved because phase distortion could be excluded due to STAP if the bypass mode was adopted under a condition where the jamming signal power level was below the threshold value in an environment where receivers were stationary. However, this paper also observed that the navigation failed due to the instability of tracking performance of receivers due to phase distortion that occurred at the switching time, although the number of switching could be reduced dramatically by proposing a dual threshold scheme of on- and off-thresholds that switched a mode due to the array antenna characteristics of varying gains according to the jamming signal incident direction in an environment where receivers were moving. The analysis results verified that running the STAP algorithm at all times is more efficient than the mode switching, in terms of maintaining stable navigation and ensuring position error performance, to remove jamming signals in an environment where receivers were moving.

• 한국전자파학회논문지
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• 제27권9호
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• pp.808-816
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• 2016

본 논문에서는 단일포트시스템으로 설계된 배열안테나에서 수신신호의 스펙트럼 분포로부터 목표신호와 재밍신호를 분리하여 목표신호 방향의 주빔 왜곡을 최소화 하며, 재밍신호 방향으로 패턴 널(null)을 형성하는 새로운 기법 및 비용함수를 제안한다. 제안한 비용함수는 최적화 알고리즘의 한 종류인 PSO(Particle Swam Optimization) 알고리즘과 gradient-based 섭동 알고리즘을 혼합한 적응형 알고리즘에 적용하여 시간에 따라 재밍신호의 입사방향이 변화하는 이동형 재밍환경에서도 적응적으로 안정적인 널링 성능을 가진다.

• 제어로봇시스템학회논문지
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• 제21권10호
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• pp.924-929
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• 2015

In this paper, we suggest a phase difference algorithm inspired by weakly electric fish. Weakly electric fish is a fish which generates electric field though its electric organ in the tail. The weakly electric fish search for prey and detect an object by using electrolocation. The weakly electric fish have Jamming Avoidance Response (JAR) to avoid jamming signal. One of pulse-type weakly electric fish Gymnotus carapo also have JAR to reduce the probability of coincidence of pulses. We analyze this response signal and design the phase difference algorithm. We expect that simple algorithm inspired by weakly electric fish can be used in many engineering fields.

• 한국통신학회논문지
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• 제27권2B호
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• pp.160-169
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• 2002

레이다 운용자는 레이다 스코우프를 통해 표적을 인지하고 추적함으로 레이다운용을 방해하는 재밍신호를 극복할 수 있는 훈련과 레이다의 전자보호 신호에 대한 시험평가가 필요하며, 이를 위해 레이다에 거리기만, 속도기만, 방위기만 및 다중허위표적의 기만재밍 신호와 점 잡음, 광대역 잡음, 점 소인 잡음 및 엄폐펄스 형태의 잡음재밍 신호를 발생할 수 있는 레이다 재밍신호 발생 알고리즘과 시뮬레이터를 설계하였다. 본 논문에서 제안한 알고리즘과 디지털회로 설계기술을 적용하여 6조의 구성요소들로 이루어진 시뮬레이터를 제작하였으며 실험을 통해 제작된 시뮬레이터의 유용성을 확인하였다.

• 한국전자파학회논문지
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• 제27권2호
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• pp.147-155
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• 2016

본 논문에서는 주파수 변조 연속파(FMCW) 전파고도계의 재밍 환경에서의 강인한 고도 측정을 위한 재밍 탐지/회피 알고리즘을 제안한다. 전파고도계 재밍 탐지 알고리즘은 재밍 탐지를 위해 송수신 구간 앞에 노이즈 측정구간을 두어 노이즈 레벨을 측정하고, 샘플링한 노이즈파형에 대해 재밍 임계치를 넘는 포인트를 산출하여 재밍을 탐지한다. 재밍 회피 알고리즘으로 시간영역에서의 재밍 회피, 송신 출력 및 수신 이득 제어, 주파수 도약을 설계하였다. 제안한 알고리즘은 실제적인 환경에서 평가하기 위한 야외시험을 통해 성공적으로 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4549-4567
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• 2016

To cope with the complex electromagnetic environment of wireless communication systems, anti-jamming decision methods are necessary to keep the reliability of communication. Basing on the rule-reduced genetic algorithm (RRGA), an anti-jamming decision method is proposed in this paper to adapt to the fast channel variations. Firstly, the reduced decision rules are obtained according to the rough set (RS) theory. Secondly, the randomly generated initial population of the genetic algorithm (GA) is screened and the individuals are preserved in accordance with the reduced decision rules. Finally, the initial population after screening is utilized in the genetic algorithm to optimize the communication parameters. In order to remove the dependency on the weights, this paper deploys an anti-jamming decision objective function, which aims at maximizing the normalized transmission rate under the constraints of minimizing the normalized transmitting power with the pre-defined bit error rate (BER). Simulations are carried out to verify the performance of both the traditional genetic algorithm and the adaptive genetic algorithm. Simulation results show that the convergence rates of the two algorithms increase significantly thanks to the initial population determined by the reduced-rules, without losing the accuracy of the decision-making. Meanwhile, the weight-independent objective function makes the algorithm more practical than the traditional methods.