Electronic countermeasure for OFDM‐based imaging passive radars

Giusti, Elisa; Capria, A.; Moscardini, Christian; Berizzi, F.

doi:10.1049/iet-rsn.2018.5629

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…The proposed method could achieve the robust signal evaluation in the presence of interference without degradation of target detection performance. Besides, [41] proposed an electronic countermeasure (ECM) system for OFDM-based passive radars and investigated in detail how the system generates and transmits multiple false target echoes for moving targets. In [42], the authors proposed transmit-adaptive jammer nulling waveforms for cognitive radar and introduced knowledge-based noise jammers in the electronic warfare.…”

Section: The Related Workmentioning

confidence: 99%

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Xin

Wang

Sun

et al. 2022

EURASIP J. Adv. Signal Process.

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In the environment of electronic warfare, the countermeasure between radar and jammer has become a hot issue. Finding the solution to optimal waveforms between them is very great significance. Aiming at the problem of multi-target detection in clutter environment, the authors propose the waveform optimization method based on signal-to-interference-plus-noise ratio (SINR) criterion for radar and jammer, respectively. When radar is the dominant player, the maxmin strategy is used to establish the optimization model to optimize the radar transmission waveform. When jammer is the dominant player, the minmax strategy is used to establish the optimization model to optimize the jammer waveform. When dealing with random multi-target, the authors also propose an adaptive weight method to solve the problem of summation of weighted multiple targets. Then, an improved method combined with Jensen’s inequality for radar and jammer is proposed, respectively, which could improve the detection performance of the radar system and reduce the computational complexity of maximum SINR-based method. The simulation results show that the proposed maximum SINR-based methods could adaptively allocate the transmission energy to improve the performance of the radar. The energy allocation of radar and jammer is slightly different under maxmin strategy and minmax strategy. The proposed improved methods could output the higher SINR than the maximum SINR-based methods. Both of the proposed methods could improve the performance of radar detecting targets.

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Section: The Related Workmentioning

confidence: 99%

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Xin

Wang

Sun

et al. 2022

EURASIP J. Adv. Signal Process.

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“…This can be accomplished by either replaying previously recorded legitimate signals or transmitting new signals with the same characteristics as the legitimate one. The former can be accomplished with digital radio frequency memory (DRFM) systems, which are able to record signals and transmit them with adjusted parameters, such as delay, frequency, phase, and polarization offsets [85]- [87]. For example, a DRFM system is utilized in [88] to spoof passive radars, which do not actively transmit signals, but rather opportunistically use signals transmitted by other devices, including cellular and TV transmissions.…”

Section: ) Radar/jrc Manipulationmentioning

confidence: 99%

Wireless Communication, Sensing, and REM: A Security Perspective

Furqan

Solaija

Türkmen

et al. 2021

IEEE Open J. Commun. Soc.

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The diverse requirements of next-generation communication systems necessitate awareness, flexibility, and intelligence as essential building blocks of future wireless networks. The awareness can be obtained from the radio signals in the environment using wireless sensing and radio environment mapping (REM) methods. This is, however, accompanied by threats such as eavesdropping, manipulation, and disruption posed by malicious attackers. To this end, this work analyzes the wireless sensing and radio environment awareness mechanisms, highlighting their vulnerabilities and provides solutions for mitigating them. As an example, the different threats to REM and its consequences in a vehicular communication scenario are described. Furthermore, the use of REM for securing communications is discussed and future directions regarding sensing/REM security are highlighted.INDEX TERMS 5G, 6G, cryptography, joint radar and communication (JRC), physical layer security, radio environment mapping (REM), REM security, sensing security, vehicle-to-everything (V2X) communication, wireless sensing, WLAN sensing.As explained earlier, our surroundings contain a myriad of radio signals. These signals can be leveraged to extract information about the environment itself and the users/devices within. As such, a malicious node might have the following motivations when attacking a (communication and/or sensing) wireless network:• Confidentiality Violation: The malicious node tries to intercept either the communication or characteristics of the legitimate nodes. In the context of sensing, this information may include a user's location, mobility pattern, social trends, etc. • Degradation: The malicious node attempts to impair the communication link and/or sensing capabilities of the legitimate parties. • Exploitation: The malicious node tries to exploit the communication and/or sensing for its own benefit. This may include learning and then manipulating the legitimate communication (or sensing) to acquire resources for itself.Corresponding to the aforementioned intentions of the malicious attackers, the network strives to guarantee that its nodes and users are protected. This includes ensuring no illegitimate access to the information/transmission is allowed, the data shared between legitimate nodes is accurate, and there is no disruption of the services offered by the network [16]. B. SECURITY THREATS -COMMUNICATION VS SENSINGThe broadcast nature of wireless communication (or signals in general) renders it susceptible to various security threats. Given below is an overview of how these threats compare for communication and sensing aspects.

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“…With the development of electronic devices and radar systems, the electromagnetic (EM) environment becomes more increasingly complex than ever before [ 1 , 2 , 3 ]. In complex and various EM environments, the analysis of scattering problems, the improvement of radar systems and the recognition of hidden targets have become frontier science in recent years [ 4 , 5 , 6 , 7 ], including electronic countermeasures, electronic support and so on [ 8 , 9 ]. When solving scattering problems, the investigation of the scattering properties is regarded as one of the most important aspects [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…In complex and various EM environments, the analysis of scattering problems, the improvement of radar systems and the recognition of hidden targets have become frontier science in recent years [ 4 , 5 , 6 , 7 ], including electronic countermeasures, electronic support and so on [ 8 , 9 ]. When solving scattering problems, the investigation of the scattering properties is regarded as one of the most important aspects [ 8 , 9 , 10 ]. Especially in complex EM environments, the scattering properties will be affected by the incidence of multi-radiators [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

ARCS: Active Radar Cross Section for Multi-Radiator Problems in Complex EM Environments

Niu

Xie

et al. 2020

Sensors

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In order to analyze the scattering properties in multi-radiator problems, the active radar cross section (ARCS) concept is proposed under complex electromagnetic (EM) environments. The corresponding calculation methods and formulation are proposed by incorporating the monostatic radar cross section (RCS) concept with external disturbances. By introducing the phase characteristics into the ARCS concept, the coherent problems can be accurately solved. Through analyzing the external disturbance and the radar waves by employing the finite element method, the coherent and the incoherent characteristics of the external disturbance can be simulated in complex structures. Numerical examples and an experiment are carried out to further demonstrate the effectiveness of the proposed ARCS concept. The results demonstrate that the proposed ARCS concept obtains better universality compared with the existing incoherent multi-radiator formulation. Meanwhile, the ARCS can be identical with the solution which is obtained by the single radar wave. Compared with the existing incoherent methods for external disturbances calculations, the proposed ARCS concept is more rational. Through the experiment, the effectiveness of the calculation method and formulation is further demonstrated and validated.

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Electronic countermeasure for OFDM‐based imaging passive radars

Cited by 8 publications

References 20 publications

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Wireless Communication, Sensing, and REM: A Security Perspective

ARCS: Active Radar Cross Section for Multi-Radiator Problems in Complex EM Environments

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