Sub-Nyquist Sampling Jamming Against Chirp-ISAR With CS-D Range Compression

Pan, Xiaoyi; Liu, Jiaqi; Chen, Jiyuan; Xie, Qingguo; Ai, Xiaofeng

doi:10.1109/jsen.2017.2778259

Cited by 24 publications

(13 citation statements)

References 31 publications

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“…where superscript H denotes conjugate transpose. As frequency off-grid error and chirp rate off-grid error should be real, ( 17) is modified to [δf (n) , δβ (n) ] = Re ((P (n) ) H P (n) ) −1 (P (n) ) H y (n) (18) where Re denotes taking the real part. Thus, the solution to the main problem (11) can be written as…”

Section: Off-grid Cs Imaging Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

et al. 2019

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Compressed sensing (CS) has provided a novel way for inverse synthetic aperture radar (ISAR) imaging. In CS based ISAR imaging, the continuous range-Doppler plane is divided into grids, and the strong scattering points are assumed on the grids. However, the strong scattering points may not be on the grids, which will degrade the performance of CS greatly. This is the off-grid problem. To solve the problem, most of existing methods aim at estimating off-grid error and sparse solution jointly. But the computational cost is relatively high. To reduce the computational cost, a fast and accurate algorithm has been proposed in this paper. Interestingly, the joint optimization problem can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied into simulated chirp signal and quasi real ISAR data, the proposed algorithm has got much better imaging results than existing algorithms. Therefore, it is a promising off-grid CS based ISAR imaging algorithm. INDEX TERMSCompressed sensing (CS), inverse synthetic aperture radar (ISAR), off-grid, orthogonal matching pursuit (OMP).

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Section: Off-grid Cs Imaging Algorithmmentioning

confidence: 99%

“…This is the off-grid problem, which has attracted considerable attention [10]- [16]. The off-grid problem can also be observed in many other application areas such as target localization, beamforming or deception jamming [17], [18].…”

Section: Introductionmentioning

confidence: 99%

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

et al. 2019

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“…Equation (20) shows that the x-coordinate of point A can be correctly formed by ISAR after the azimuth processing.…”

Section: B 2-d Isar Imagementioning

confidence: 99%

“…The modulation method directly determines the fidelity of the false target and the jamming effect. Various methods, such as scatter-wave jamming [20]- [22], digital image synthesizer (DIS) method [23], [24], and convolution method [25], are proposed to deal with this problem. The scatter-wave method transmits the jamming signal to the protected target instead of the radar.…”

Section: Introductionmentioning

confidence: 99%

A Two-Dimensional Frequency Modulation Deception Jamming Against ISAR

Tai

Lin

et al. 2019

IEEE Access

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This paper proposes a false target jamming method for countering ISAR based on twodimensional frequency modulation. The target template is created according to the ISAR image of a true target. Then the range modulation signal, of which the frequency relates to each range cell of the template, is generated using direct digital synthesizer. The creation of modulation signal can be implemented parallel to accelerate the algorithm. All the range modulation signals are added up after amplitude adjustment and Doppler phase modulation. At last the jamming signal is derived from the multiplication between the intercepted radar signal and the modulation signal. Using the property of linear frequency modulated signal and frequency modulation, the jamming signal creates a false target of high fidelity after ISAR imaging. The proposed method is real-time when producing a false target with simple structure. For a template consists of a great many scatterers, the jamming algorithm is separated into real-time stage and off-line stage, which fulfills the generation of modulation signal after obtaining the radar parameters. The jamming effect on ISAR is presented through simulation results and the validity of the method is verified.

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“…In order to protect the important goals and regions of detection and observation, a variety of jamming techniques are designed against the ISAR system. Sub-Nyquist sampling jamming against the ISAR system is studied in [1][2][3][4]. In [1], sub-Nyquist jamming is used to the bistatic ISAR; by undersampling the intercepted signal of ISAR, multiple deceptive false targets will be induced and the real targets will be emerged in false targets.…”

Section: Introductionmentioning

confidence: 99%

Mainlobe Jamming Suppression Using Improved Frequency Diverse Array with MIMO Radar

Zhang

Liu

et al. 2019

Journal of Sensors

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Frequency diverse array (FDA) has attracted much attention in recent years due to its range-angle-dependent beampattern. Multiple-input multiple-output (MIMO) radar can offer waveform diversity to increase the virtual aperture length for azimuth coherent focus processing in radar imaging. Combining the advantages of FDA and MIMO radar, FDA-MIMO radar can steer multiple beams to different targets in the same line of sight (LOS) of radar with different waveforms. In this paper, an improved FDA model with the logistic map is proposed to get the aperiodic and range-angle uncoupling beampattern. Based on the proposed FDA, combining the FDA-MIMO radar, the waveform and chirp rate jitter techniques are adopted to mainlobe jamming suppression. Simulation results show the effectiveness of the proposed method.

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Sub-Nyquist Sampling Jamming Against Chirp-ISAR With CS-D Range Compression

Cited by 24 publications

References 31 publications

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

A Two-Dimensional Frequency Modulation Deception Jamming Against ISAR

Mainlobe Jamming Suppression Using Improved Frequency Diverse Array with MIMO Radar

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