Active jamming suppression based on transmitting array designation for colocated multiple‐input multiple‐output radar

Zhang, Juan; Liu, Nan; Zhang, Linrang; Zhao, Shuang; Zhao, Yongbo

doi:10.1049/iet-rsn.2015.0215

Cited by 19 publications

(21 citation statements)

References 17 publications

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“…It is illustrated that the capability of efficient jammers suppression employing these optimizations is unique in MIMO radar systems. In addition, Zhang et al (2016) propose a novel method to optimize the transmitting array in order to suppress the active jamming for colocated MIMO radar, which can obtain enhanced performance for conventional or adaptive beamforming performance degradation cases.…”

Section: Radio Sciencementioning

confidence: 99%

“…Technically speaking, the antijamming performance of modern radar system can be enhanced by adopting well‐designed waveforms, coherent sidelobe cancellers, and joint optimization of transmit waveform and receiver filter (Zhang et al, ). For instance, in Song, Willett, and Zhou (), it is shown that a distributed MIMO radar system can counter the deceptive jamming owing to the spatial diversity, where the antijamming capability is a feature of MIMO radar.…”

Section: Introductionmentioning

confidence: 99%

“…Precisely, large revisit interval, low transmission power, short dwell time, ultralow sidelobe antenna, and waveform optimization can result in better LPI performance of radar system. Similarly, the LPI‐based jamming technique is also of critical importance to modern jammer systems, whereas more achievements are seldom published due to the inherent sensitivities associated with military radar and electronic warfare systems (Zhang et al, ). In our previous work (Shi et al, ), the LPI‐based radar jamming waveform design methods are proposed, whose aim is to minimize the transmitted jamming power, while the achievable radar performance outage probability is enforced to be greater than a given confidence level.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Jamming Waveform Design for Distributed Multiple‐Radar Architectures Based on Low Probability of Intercept

et al. 2019

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This paper investigates the problem of low probability of intercept (LPI)‐based adaptive jamming waveform design for distributed multiple‐radar architectures. Such a smart jammer system adopts a multibeam working mode, where multiple simultaneous jamming beams are synthesized to interfere with multiple radars independently. The primary objective of the smart jammer is to minimize the total jamming power by optimizing the transmitted jamming waveform while the achieved signal‐to‐interference‐plus‐noise ratio (SINR) and mutual information (MI) between the received echoes from the target at each radar receiver and the target impulse responses are enforced to be below specified thresholds. First, the expressions of SINR and MI are derived to characterize target detection and characterization performance, respectively. Then, two different LPI‐based jamming waveform design strategies are proposed to minimize the total noise jamming power by optimizing the jamming waveform while the achieved SINR/MI is enforced to be below a certain threshold. The resulting optimization problems are solved analytically by employing the technique of Lagrange multipliers. With the aid of some numerical examples, it is illustrated that the two schemes result in different jamming waveform design results, which is useful to guide jamming power allocation for various jamming tasks. It is also shown that the LPI performance of the smart jammer can be efficiently improved by exploiting the proposed jamming waveform design criteria.

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Section: Radio Sciencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Jamming Waveform Design for Distributed Multiple‐Radar Architectures Based on Low Probability of Intercept

et al. 2019

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“…Equation 7indicates that to build the dynamic equation in ENU coordinate,ṙ I andr I are needed.ṙ I andr I can be represented by the linear function which containsṙ r and r r according to (4). The Runge-Kutta method can be used to solve the differential equation in (7) in ENU coordinate.…”

Section: Trajectory Of a Ballistic Targetmentioning

confidence: 99%

“…It enables the defenders with early warning, hostile target discrimination and military reconnaissance. Thus, great attention is paid to the researches on ISAR jamming and ant-jamming [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Deceptive Jamming Method with Micro-motion Property Against ISAR

Liu¹,

Tai²,

Wu³

et al. 2017

RADIOENGINEERING

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Airborne target's micro-motion such as rotation or vibration causes phase modulation, termed as micro-Doppler effect, into radar signals. The feature of micromotion is one of the most obvious features for radar recognition in mid-course phase. In traditional works, it is assumed that the micro-motion of the scatterer is the same as the ballistic target. However, with the variation of the aspect angle of ISAR, the position of the scatterer changes. In this paper, the movement of a ballistic missile in mid-course is modeled and analyzed. A false target jamming method is proposed by combining the micro-motion modulation and the electromagnetic scattering modulation. Compared with the methods using ideal point models, our method is able to generate a vivid false target with structural information, micro-motion and variation of the scatterer's RCS. The micro-motion effect of the false target is presented through ISAR imaging and time-frequency analysis. The effectiveness and correctness of the algorithm is verified by simulation.

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Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems

Azadegan

Soleimani

2020

Digital Signal Processing

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Active jamming suppression based on transmitting array designation for colocated multiple‐input multiple‐output radar

Cited by 19 publications

References 17 publications

Adaptive Jamming Waveform Design for Distributed Multiple‐Radar Architectures Based on Low Probability of Intercept

Adaptive Jamming Waveform Design for Distributed Multiple‐Radar Architectures Based on Low Probability of Intercept

Deceptive Jamming Method with Micro-motion Property Against ISAR

Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems

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