Deceptive Targets Generation Simulation Against Multichannel SAR

Ji, Penghui; Xing, Shu; Dai, Dahai; Pang, Bo

doi:10.3390/electronics9040597

Cited by 3 publications

(2 citation statements)

References 25 publications

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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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Section: Introductionmentioning

confidence: 99%

Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Wang,

Chen,

Liu

et al. 2023

Electronics

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“…Synthetic Aperture Radars (SAR) that are mounted on aircrafts, satellites or other platforms are usually used to obtain images of regions of interest for all-weather all-time high-resolution reconnaissance [1][2][3]. In recent years, many SAR system such as bi-static (multi-static) SAR, linear array SAR, three dimension SAR and frequency-modulated continuous-wave (FMCW) SAR have been designed to obtain SAR data [4][5][6][7][8][9][10], and many techniques such as displacement phase center antenna (DPCA), differential interferometry, along-track interferometry, space time adaptive processing (STAP), adaptive digital beam forming and phase unwrapping have been employed to process SAR data [11][12][13][14][15][16][17]. However, ground moving target imaging is still a challenging task due to the unknown target's trajectory.…”

Section: Introductionmentioning

confidence: 99%

Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR

et al. 2020

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Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. This paper constructs a novel framework to refocus ground moving targets by using shadows in video-SAR. To this end, an automatic-registered SAR video is first obtained using the video-SAR back-projection (v-BP) algorithm. The shadows of multiple moving targets are then tracked using a learning-based tracker, and the moving targets are ultimately refocused via a proposed moving target back-projection (m-BP) algorithm. With this framework, we can perform detecting, tracking, imaging for multiple moving targets integratedly, which significantly improves the ability of moving-target surveillance for SAR systems. Furthermore, a detailed explanation of the shadow of a moving target is presented herein. We find that the shadow of ground moving targets is affected by a target’s size, radar pitch angle, carrier frequency, synthetic aperture time, etc. With an elaborate system design, we can obtain a clear shadow of moving targets even in X or C band. By numerical experiments, we find that a deep network, such as SiamFc, can easily track shadows and precisely estimate the trajectories that meet the accuracy requirement of the trajectories for m-BP.

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A Repeater-Type SAR Deceptive Jamming Method Based on Joint Encoding of Amplitude and Phase in the Intra-Pulse and Inter-Pulse

et al. 2022

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Due to advantages such as low power consumption and high concealment, deceptive jamming against synthetic aperture radar (SAR) has received extensive attention in electronic countermeasures. However, the false targets generated by most of the deceptive jamming methods still have limitations, such as poor controllability and strong regularity. Inspired by the idea of waveform coding, this paper proposed a repeater-type SAR deceptive jamming method through the joint encoding of amplitude and phase in intra-pulse and inter-pulse, which can generate a two-dimensional controllable deceptive jamming effect. Specifically, the proposed method mainly includes two parts, i.e., grouping and encoding. The number of groups determines the number of false targets, and the presence of the phase encoding produces false targets. The amplitude encoding affects the amplitude of the false targets. For the intra-pulse cases, the proposed method first samples the intercepted SAR signal. Meanwhile, the sampling points are grouped in turn. For the inter-pulse cases, the grouped objects are the pulses. Subsequently, the joint encoding of amplitude and phase is performed on each group, which generates jamming signals with deceptive effects. In this paper, the imaging effect of the generated jamming signals is analyzed in detail, and the characteristics of false targets, including numbers, position, and amplitude, are derived. The simulation and experimental results verify the correctness of the theoretical analysis. In addition, the superiority of the proposed method is verified by comparing it with other methods.

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Deceptive Targets Generation Simulation Against Multichannel SAR

Cited by 3 publications

References 25 publications

Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR

A Repeater-Type SAR Deceptive Jamming Method Based on Joint Encoding of Amplitude and Phase in the Intra-Pulse and Inter-Pulse

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