Research on Dual-Frequency Electromagnetic False Alarm Interference Effect of a Typical Radar

Du, Xue; Wei, Guanghui; Zhao, Kai; Zhao, Hongze; Lyu, Xuxu

doi:10.3390/s22093574

Cited by 3 publications

(10 citation statements)

References 11 publications

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“…In the imaging process of the SIFA target, there is only a single linear phase effect and no other phase effects. The energy of the SIFA signal is more concentrated, resulting in a single position fixed 'spike' false alarm target [19].…”

Section: Establishing a Theoretical Modelmentioning

confidence: 99%

“…In general, the single-frequency EMI sensitive port of the EUT is different from the SIFA sensitive port. From the previous analysis of radar EMI, it is known that the second-order intermodulation blocking signal is not obvious due to the stuttering phenomenon [19], while the SIFA shows a certain regularity. Secondly, under the existing conditions in the laboratory, the tested radar can get the complete single-frequency critical blocking interference sensitivity threshold, but not the single-frequency critical false alarm interference sensitivity threshold [20], based on this, the single-frequency blocking critical sensitivity threshold is used.…”

Section: Establishing a Theoretical Modelmentioning

confidence: 99%

“…Radar dual-frequency EMI signal imaging is shown in Fig. 3, where two "hill-shaped" electromagnetic signals for the dual-frequency non-intermodulation false alarm target, the waveform approximate "spike" type electromagnetic signal is a SIFA target with concentrated energy [19].…”

Section: Second-order Intermodulation False Alarm Effect Testmentioning

confidence: 99%

“…Due to the frequency of the radar receiver having a certain bandwidth, which will cause the false signal to be received incorrectly to form false alarm interference. Reference [19] analyzed the interference mechanism, wave-form characteristics, and position variation of radar singlefrequency, dual-frequency non-intermodulation, and SIFA signals, and the SIFA sensitive range and interference effect model are not mentioned. Based on this, aiming at the quantitative evaluation demand of radar second-order intermodulation false alarm effect, this paper establishes the second-order intermodulation false alarm effect model based on previous interference mechanism research and puts forward the parameter test method of radar secondorder intermodulation false alarm model.…”

Section: Introductionmentioning

confidence: 99%

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Test Evaluation Method for Second-order Intermodulation False Alarm Interference

Du,

Wei,

et al. 2024

RADIOENGINEERING

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Aiming at the quantitative evaluation requirements of radar second-order intermodulation false alarm (SIFA) effect, a radar SIFA effect model is established from the field-circuit coupling mechanism, and the parameter test method of the model is given. Taking a certain type of radar as the test object, the SIFA effect test is carried out by using the method of electromagnetic injection equivalent substitution irradiation. The results show that the tested radar will produce a SIFA signal higher than the selected sensitive level when the frequency difference of dual-frequency electromagnetic interference (EMI) is within 3 MHz and the frequency offset is within ±200 MHz. Using the model parameters of the SIFA interference effect measured in the experiment, it is assumed that they do not change with the interference field strength. Combined with the SIFA interference field strength of the tested radar and the single frequency blocking critical interference field strength, the effect model can evaluate the degree of radar SIFA interference.

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Section: Establishing a Theoretical Modelmentioning

confidence: 99%

Section: Establishing a Theoretical Modelmentioning

confidence: 99%

Section: Second-order Intermodulation False Alarm Effect Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Test Evaluation Method for Second-order Intermodulation False Alarm Interference

Du,

Wei,

et al. 2024

RADIOENGINEERING

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show abstract

“…How to evaluate the generated interference waveform has always been a macro and hollow problem. The existing interference evaluation system [13] is mainly evaluated by macroscopic interference effect evaluation criteria (including power criteria, information criteria, and probability criteria) and fuzzy function [14]. However, it cannot quantitatively and qualitatively analyse the interference effect of the interference waveform.…”

Section: Introductionmentioning

confidence: 99%

Adaptive intra‐pulse interference waveform generation technique based on Convolutional Neural Network—Deep Neural Network with global priority information of radar signal

Jiang

Shang

Guan

et al. 2022

IET Radar Sonar & Navi

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To adapt to the complex and changeable electromagnetic environment of radar detection, improve the jamming effect on frequency‐agile radar and low probability of intercept radar, and solve the problem of poor jamming effect caused by intra‐pulse jamming lagging behind target radar signal, a Convolutional Neural Network—Deep Neural Network jamming waveform generation method, based on prior global information of radar signal, is presented in this study. This proposed method uses two networks to generate the overall interference waveforms. One Convolutional Neural Network—Deep Neural Network derives prior global radar information from local prior radar information, which is used by the other Convolutional Neural Network—Deep Neural Network to generate interference. In the whole scheme, an algorithm to design the intra‐pulse interference waveform based on the prior global information of the radar signal is proposed. The algorithm can generate the interference waveform samples from the number and area of multiple false targets and the relative peak between multiple false targets and the real target area by the relevant parameters. Then, an evaluation system (Matched filter, Constant False Alarm Rate Detector, and Distance resolution etc.) is established to evaluate the global effect of the designed interference waveforms. Finally, the time‐domain Root Mean Squared Errors is used as the loss function to optimise the training of the network and ultimately achieve the requirement of generating intra‐pulse adaptive interference waveforms based on radar signal fragments. The principle of generating interference waveforms is based on various aspects of the evaluation of the interference effect, which enhances the time domain correlation between multiple false target areas, thereby boosting the interference effect on the radar. The experimental results show that the proposed method based on the Convolutional Neural Network—Deep Neural Network can effectively solve the problem of intra‐pulse interference lag and small effective interference area after the pulse pressure of the interference waveform matching filter. This study offers certain reference significance for the adaptive interference waveform design based on radar prior global information.

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Study on the Law and Mechanism of the Third-Order Intermodulation False Alarm Effect of the Stepped Frequency Ranging Radar

Wei

Pan

et al. 2022

Electronics

Self Cite

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In order to improve the radar’s electromagnetic protection ability, it is essential to master the law of the false alarm effect of the radar’s out-of-band third-order intermodulation electromagnetic radiation, starting from the circuit field-circuit coupling mechanism, and the mechanism of the third-order intermodulation false alarm effect is analyzed. Taking a stepped frequency ranging radar as the research object, the absolute level value of the false alarm signal is selected as the sensitive criterion of the false alarm effect. The dual-frequency electromagnetic false alarm interference effect is carried out by using the method of the differential mode injection equivalent substitution electromagnetic radiation. The results show that the dual-frequency electromagnetic interference will cause the radar to generate the third-order intermodulation false alarm signal with the random position and waveform spreading. Under a certain interference intensity, the level of the third-order intermodulation false alarm signal increases with the increase of the interference field strength. With the continuous increase of the interference field strength, the fifth-order intermodulation false alarm signal gradually appears. The imaging mechanism, the waveform characteristics, and the level change law of the fifth-order intermodulation false alarm target, are similar to the third-order intermodulation false alarm target, and its position is also random. The maximum third-order intermodulation false alarm signal can reach 18 dBmV, indicating that the radar is sensitive to the out-of-band intermodulation electromagnetic interference.

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Research on Dual-Frequency Electromagnetic False Alarm Interference Effect of a Typical Radar

Cited by 3 publications

References 11 publications

Test Evaluation Method for Second-order Intermodulation False Alarm Interference

Test Evaluation Method for Second-order Intermodulation False Alarm Interference

Adaptive intra‐pulse interference waveform generation technique based on Convolutional Neural Network—Deep Neural Network with global priority information of radar signal

Study on the Law and Mechanism of the Third-Order Intermodulation False Alarm Effect of the Stepped Frequency Ranging Radar

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