Inverse Omega-K Algorithm for the Electromagnetic Deception of Synthetic Aperture Radar

Liu, Yongcai; Wang, Wei; Pan, Xiaoyi; Fu, Qun; Guo-yu, Wang

doi:10.1109/jstars.2016.2543961

Cited by 43 publications

(20 citation statements)

References 14 publications

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“…In this way, radar kinematic error is represented by a four-element vector ζ = ζ r , ζ x ,ζ r ,ζ x , where ζ r and ζ x denote constant shift along range and azimuth respectively,ζ r andζ x denote velocity bias along range and azimuth respectively. The model given by (11) is consistent with the idea of jamming algorithms such as [7], [22]. It indicates that the estimated trajectory of radar antenna phase center is viewed by jammer as an arbitrary straight line that may be rotated and shifted compared with the real motion.…”

Section: B Jamming With Radar Kinematic Errorssupporting

confidence: 67%

“…As a response to the threat, electronic counter measures (ECM) techniques against SAR receive intensive study interests. A variety of methods have been designed to achieve jamming effects such as suppression, deception, or disturbance [2]- [7], by either active repeater or passive reflector [8], [9]. Nowadays, opponents of jamming have extended from traditional image formation processing of SAR to polarimetric SAR (PolSAR) [10], [11], interferometric SAR (InSAR) [12], [13], ground moving target indication (GMTI) [14], bi-or multi-static SAR [15]- [17], etc.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Estimate Error of Radar Kinematic Parameter on Deceptive Jamming Against SAR

et al. 2016

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The influence of intelligence gathering inaccuracy, especially the estimate error of radar kinematic parameter, on the performance of deceptive jamming against synthetic aperture radar (SAR) is studied in this paper, filling a knowledge vacancy in the field of SAR electronic countermeasures (ECM). For the first time, an equivalence relationship between non-ideal jamming and ground moving target is derived and verified in raw phase history data domain and radar image domain. A novel and elegant way to quantify the defocus and displacement of false target in radar image is proposed based on the equivalence relationship. Work presented in this paper can guide the design of jammer's intelligence gathering subsystem and optimize jamming configuration, from the view of jammer. The results also avail electronic counter-countermeasures (ECCM), from the view of radar.

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Section: B Jamming With Radar Kinematic Errorssupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Influence of Estimate Error of Radar Kinematic Parameter on Deceptive Jamming Against SAR

et al. 2016

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“…The principle of SAR deceptive jamming based on modulation-retransmission is presented in Figure 1 [17]. The jammer performs a serious of operations including the amplification, down-conversion, analog-to-digital conversion (A/D), and fast Fourier transform (FFT) on the intercepted radar radio frequency (RF) signal to obtain the frequency domain representation of the baseband, while the JSF is calculated based on the template and the SAR parameters including kinematic parameters (platform position, velocity, etc.…”

Section: Principles Of Deceptive Jamming Against Sarmentioning

confidence: 99%

“…denotes the instantaneous slant distance between and the jammer. In order to generate the fake point target P in the SAR image, the JSF at azimuth time t a is [17] H…”

Section: Principles Of Deceptive Jamming Against Sarmentioning

confidence: 99%

“…The former uses high-power noise to cover the echo signal from the region of interest (ROI) and makes it impossible to form a clear and distinguishable image [6,7]. The latter emits an echo signal of a false target by the direct generation or modulation-retransmission method, which is mixed with the echo of the real target, affecting the image interpretation process and achieving the purpose of "hidden truth in falsehood" [8][9][10][11][12][13][14][15][16][17][18][19]. Compared with barrage jamming, deception jamming belongs to a type of smart jamming method which has lower power consumption, higher concealment, and more flexible application scenarios; thus, it is more attractive and does not arouse the awareness of the enemy.…”

Section: Introductionmentioning

confidence: 99%

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A Large-Scene Deceptive Jamming Method for Space-Borne SAR Based on Time-Delay and Frequency-Shift with Template Segmentation

Yang

Wei

Ma³

et al. 2019

Remote Sensing

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Due to advantages such as its low power consumption and higher concealment, deceptive jamming against synthetic aperture radar (SAR) has received extensive attention during the past decades. However, large-scene deception jamming is still a challenge because of the huge computing burden. In this paper, we propose a new large-scene deceptive jamming algorithm. First, the time-delay and frequency-shift (TDFS) algorithm is introduced to improve the jamming processing speed. The system function of jammer (JSF) for a fake scatter is simplified to the multiplication of the scattering coefficient, a time-delay term in the range dimension and a frequency-shift term in the azimuth dimension. Then, in order to solve the problem that the effective region of the TDFS algorithm is limited, the scene deceptive jamming template is divided into several blocks according to the SAR parameters and imaging quality control factor. The JSF of each block is calculated by the TDFS algorithm and added together to achieve the large-scene jamming. Finally, the correction algorithm in squint mode is derived. The simplification and parallel-block processing could improve the calculation efficiency significantly. The simulation results verified the validity of the algorithm.At present, almost all SAR deceptive jamming methods are based on the modulation and retransmission mechanism. In each pulse repetition interval (PRI), according to a series of parameters of the SAR which should be jammed, including kinematic parameters, antenna parameters, and signal parameters, and combining the jamming scene template, the jammer modulates and retransmits the intercepted radar pulse to generate a jamming signal, which will form a false image after range and azimuth compression by the receiver. The deceptive jammer can be regarded as a linear time-invariant (LTI) system in a single PRI. The problem of obtaining the system function of jammer (JSF) is a focus in the field of SAR deceptive jamming. A straightforward method is to calculate the signal propagation delay difference between each scatter in the jamming scene template and the jammer during each PRI [8]. However, this method is computationally intensive and can hardly guarantee real-time processing. Subsequent research has mainly focused on reducing the computational complexity and increasing the processing speed. Usually, parts of the processing are performed in advance to reduce the computational burden during the implementation of jamming. In the specific implementation, this is divided into two categories: azimuth time-domain processing and azimuth frequency-domain processing. The former reduces the computational complexity by approximating the distance equation and is suitable for the broadside or low squint angle mode, including the inverse range-Doppler algorithm [9], phase pre-modulation [10], segmented modulation [11,12], and approach of multiple receivers [13,14]. The latter, including frequency-domain pre-modulation [15], the frequency-domain three-stage algorithm [16], the inverse Omega-...

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One-bit splitting deceptive jamming against SAR

Zhao

Liu

et al. 2022

Defence Technology

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Inverse Omega-K Algorithm for the Electromagnetic Deception of Synthetic Aperture Radar

Cited by 43 publications

References 14 publications

Influence of Estimate Error of Radar Kinematic Parameter on Deceptive Jamming Against SAR

Influence of Estimate Error of Radar Kinematic Parameter on Deceptive Jamming Against SAR

A Large-Scene Deceptive Jamming Method for Space-Borne SAR Based on Time-Delay and Frequency-Shift with Template Segmentation

One-bit splitting deceptive jamming against SAR

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