Active cancellation analysis based on the radar detection probability

Yi, Mingxu; Wang, Lifeng; Huang, Jun

doi:10.1016/j.ast.2015.07.018

Cited by 15 publications

(4 citation statements)

References 17 publications

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“…Recently, jamming on NFLM radar has become an important topic in modern electronic warfare. An active cancelling system for three different NLFM signals is proposed in [19] to decrease radar detection.…”

Section: Frequency Modulated Waveformsmentioning

confidence: 99%

A review of radar signals in terms of Doppler tolerance, time-sidelobe level, and immunity against jamming

Hanbali

2018

Int. J. Microw. Wireless Technol.

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Pulse compression technique allows a radar to achieve the resolution of a short pulse and the energy of a long pulse simultaneously, without the requirement of high-power transmission. Therefore, pulse compression radars have a low probability of intercept capability. The common types of pulse compression signals are frequency modulated waveforms and phase-coded waveforms, which have different properties. The optimum radar signal should have good immunity against deceptive jamming, good Doppler tolerance to detect high-speed targets, and low time-sidelobe level to detect weak targets nearby the strong ones. This paper reviews the current research in the commonly used radar signals, and presents their pros and cons, and compares between them in terms of Doppler tolerance, time-sidelobe level, as well as immunity against jamming in order to provide a reference for the researchers in the field of radar systems and electronic warfare.

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Section: Frequency Modulated Waveformsmentioning

confidence: 99%

A review of radar signals in terms of Doppler tolerance, time-sidelobe level, and immunity against jamming

Hanbali

2018

Int. J. Microw. Wireless Technol.

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“…In the study of optimal jamming for QAM-modulated signals, the coherence characteristics between signals [4] are usually used to construct jamming signals that are identical or similar to the communication signal, and they are considered to have the best jamming effect [5,6], but this theory lacks an accurate theoretical basis for mathematical analysis. For this reason, literature [7,8] studied and established a mathematical analysis model for optimal jamming based on jamming signals constructed with known modulation schemes, such as BPSK, QPSK, and 16QAM.…”

Section: Introductionmentioning

confidence: 99%

Optimal jamming method based on grey wolf optimization and orthogonal decomposition

Tan

Dou

2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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Jamming attacks can significantly degrade the performance of wireless communication systems and plays a very important role in electronic countermeasures and radio resource management. Most of the relevant research in recent years has been conducted to analyze the optimal jamming of digital modulation signal under the condition of constellation diagram without distortion. However, in non-ideal reception conditions, the optimal jamming scheme will no longer be the conventional one due to the constellation distortion. Therefore, aiming at the optimal jamming scheme for non-ideal received multiple quadrature amplitude modulation (MQAM) signals, a grey wolf optimization-orthogonal decomposition (GWO-OD) based optimal jamming waveform construction algorithm is proposed in this paper. Based on the orthogonal decomposition algorithm, this method can freely distribute the power between the in-phase dimension and the orthogonal dimension. The optimal allocation scheme is selected by using the GWO algorithm, and various unconventional jamming modulation signals are constructed. The simulation results show that the proposed algorithm can intelligently select the jamming scheme with the best jamming effect. In the case of constellation distortion, the jamming modulation scheme constructed by this method has a better jamming effect than the conventional scheme, which is better than the existing optimal jamming methods.

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“…Active stealth technology has been paid more and more attention in recent years because of some irreversible defects of traditional passive stealth technology, such as weakening the aerodynamic performance and maneuverability of the aircraft, increasing postmaintenance costs and low efficiency for low-frequency radar. At present, a variety of active cancellation algorithms have been proposed (Khan et al, 2012;Xu and Xu, 2013;Zikidis et al, 2014;Belogubtsev et al, 2011;Osman and Alzebaidi, 2013;Yi et al, 2015), in which spectral spreading-compressing (SSC) algorithm is a new and promising active cancellation algorithm. SSC algorithm is a frequency shift interference method based on SSC according to time delay-Doppler coupling characteristics of linear frequency modulation (LFM) signal.…”

Section: Introductionmentioning

confidence: 99%

Simulation of active cancellation system based on N-order SSC algorithm

Huang

et al. 2019

AEAT

Self Cite

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Purpose The purpose of this paper is to introduce the theoretical basis of N-order spectral spreading-compressing (SSC) frequency shift interference algorithm and expand it to active cancellation. An active cancellation simulation and verification system based on N-order SSC algorithm is established and carried out; simultaneously, the absorbing material coating stealth simulation of two kinds of thickness is carried out to compare the stealth effect with active cancellation system. Design/methodology/approach The active cancellation method based on N-order SSC algorithm is proposed based on theoretical formula derivation; the active cancellation simulation and verification system is established in MATLAB/Simulink. The full-size model is built by CATIA and meshed by hypermesh. The omnidirectional radar cross section (RCS) is calculated in cadFEKO, and the results are analyzed in postFEKO. Findings The simulations are implemented on a stealth fighter, and results show that after active cancellation, the peak of spectrum analyzer has reduced in all azimuths, the omnidirectional RCS has also decreased and the detection probability of almost all azimuths has dropped under 50 per cent. The absorbing material coating stealth simulations of two kinds of thickness are carried out, and results show that the stealth effect of active cancellation is much better than absorbing material coating. Practical implications An active cancellation system based on SSC algorithm is proposed in this paper, and the effect of active cancellation is verified and compared with that of absorbing materials. A new method for the current active stealth is provided in this paper. Originality/value Active cancellation simulation and verification system is established. RCS calculation module, signal-to-noise-ratio (SNR) calculation module and detection probability module are built to verify the effect of active cancellation system. Simultaneously, the absorbing material coating stealth simulation is carried out, and the stealth effect of absorbing material coating and active cancellation are compared and analyzed.

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Active cancellation analysis based on the radar detection probability

Cited by 15 publications

References 17 publications

A review of radar signals in terms of Doppler tolerance, time-sidelobe level, and immunity against jamming

A review of radar signals in terms of Doppler tolerance, time-sidelobe level, and immunity against jamming

Optimal jamming method based on grey wolf optimization and orthogonal decomposition

Simulation of active cancellation system based on N-order SSC algorithm

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