Design of DRFM-based Several Radar Targets Simulator Using FPGA

Smolyakov, A.; Podstrigaev, Alexey S.

doi:10.1109/elconrus51938.2021.9396154

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…Subsequently, the target generation modifications are applied to the signal before it is up converted back to its original carrier frequency f c and re-transmitted by the FEs towards the RuT. The signal modifications, namely time delay, Doppler shift and attenuation, that enable the virtual radar target generation can be implemented in either the analog [20]- [22] or digital domain [6], [9], [23]. Since the concept presented here is not limited in terms of the RTS's target generation methodology, the subsequent analytical elaborations are kept generic.…”

Section: Radar Target Simulationmentioning

confidence: 99%

Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation

Diewald¹,

Nuß²,

Johannes³

et al. 2022

Preprint

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Automotive radar sensors play a key role in the current development of advanced driver assistance systems (ADAS). Their ability to detect objects even under adverse weather conditions makes them indispensable for environmentsensing tasks in autonomous vehicles. Since an operational failure presents a potential risk to human life, thorough and practical validation testing must be performed, requiring an integrative test solution. Radar target simulators (RTS) are capable of performing over-the-air validation tests by generating virtual radar echoes that are perceived as targets by the radar under test (RuT). Since the authenticity and credibility of these targets is based on the accuracy with which they are created, their simulated position must be arbitrarily adjustable. In this work, an existing approach to synthesize virtual radar targets at an arbitrary angle of arrival (AoA) is extended to cover both, the azimuth and elevation domain. The concept is based on the superposition of the returning signals from four neighboring RTS channels. A theoretical model describing the basic principle and its constraints is developed. In addition, a measurement campaign is conducted to verify the practical functionality of the proposed approach.

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Section: Radar Target Simulationmentioning

confidence: 99%

Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation

Diewald¹,

Nuß²,

Johannes³

et al. 2022

Preprint

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“…Various kinds of interference pose a great threat to the survival of radar. Digital radio frequency memory (DRFM) [1][2][3] technology has been widely used in electronic countermeasures [4], which brings different interference [5][6][7][8] and stimulates the corresponding electronic counter-countermeasures [9][10][11][12]. At the present stage, the serious difficulty of radar anti-interference is concentrated in the main lobe, as the anti-interference in the sidelobe has been well restrained by sidelobe cancellers and blanking [13].…”

Section: Introductionmentioning

confidence: 99%

Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Wang,

Chen,

Liu

et al. 2023

Electronics

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Self-protection deceptive interferences (SPDI) are widely used in electronic countermeasures. Smeared spectrum (SMSP) interference, as a typical SPDI, can form a large number of dense false targets at the receiver output to affect effective target detection. Therefore, the suppression of SMSP interference is a compelling issue. The existing SMSP interference suppression methods inevitably result in energy loss of the target due to signal processing. This paper proposes a novel interference suppression method based on echo preprocessing to address this problem. Firstly, the pulse compression (PC) and the coherent integration (CI) characteristics of SMSP interference in the pulse Doppler radar are obtained through the derivation of formulas. Then, echo preprocessing is introduced, and the steps of interference suppression are listed in detail. Finally, the SMSP interference is suppressed because the preprocessed interference forms a center-shifting and range-scaling in the distance dimension after PC, and CI gain cannot be further obtained. The proposed method does not lose the energy of the true target because it does not involve filtering and reconstruction processing. Simulations show that the target detection probability of the proposed method can reach 100% via peak search after the interference suppression when the signal-to-noise ratio is greater than −10 dB and the jamming-to-signal ratio (JSR) is less than 35 dB. Compared with three representative methods in the recent literature, the proposed method has better robustness and higher JSR tolerance.

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“…The main types of active deception jamming include range false target jamming (RFTJ), range gate pull-off jamming (RGPO), velocity false target jamming (VFTJ), velocity gate pull-off jamming (VGPO), range-velocity gate pull-off jamming (R-VGPO), whole-pulse dense transmit jamming (WDTJ), partial-pulse dense transmit jamming (PDTJ), interrupted-sampling directly jamming (ISDJ), interrupted-sampling repeater jamming (ISRJ) [3], etc. With the development of digital radio frequency memory (DRFM) technology [4], jammers can quickly generate coherent jamming with diverse modulation modes and variable parameters, which makes the active deception jamming become the main jamming in modern electronic jamming. An important technology of radar antijamming is the recognition of active deception jamming.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Active Deception Jamming for LFM Radar Based on Hyperdimensional Computing

Dong

Wang

2022

J. Phys.: Conf. Ser.

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Active deception jamming is one of the common means to jam radar signals. How to effectively recognize active deception jamming is a challenge of modern radar technology. To address the accuracy and real-time of radar active jamming recognition in practical applications, we propose a fast recognition method of radar active deception jamming based on hyperdimensional computing. First, to address the high feature dimensions, we use the sparse representation of time–frequency diagrams as the input, which time–frequency diagrams are constructed by the jamming plus echo signals in multiple consecutive pulse periods. Second, to achieve a high accuracy and real time of recognition, we employ the hyperdimensional computing to map the input to hyperdimensional space for training and recognition. Last, in the recognition stage, the Hamming distance is adopted to measure the similarity of samples. We validate our method on nine types of radar active deception jamming. The experimental results show that compared with the existing mainstream machine learning-based methods, the proposed method greatly shortens the training time on the premise of maintaining a high recognition accuracy.

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Design of DRFM-based Several Radar Targets Simulator Using FPGA

Cited by 9 publications

References 7 publications

Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation

Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation

Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Recognition of Active Deception Jamming for LFM Radar Based on Hyperdimensional Computing

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