Focusing High Maneuvering Bistatic Forward-Looking SAR With Stationary Transmitter Using Extended Keystone Transform and Modified Frequency Nonlinear Chirp Scaling

Ding, Jiabao; Li, Yachao; Li, Ming; Wang, Jiadong

doi:10.1109/jstars.2022.3153824

Cited by 4 publications

(2 citation statements)

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“…This problem leads to serious performance degradation for the traditional adaptive processing method. The RCM and DM effects indicate that the maneuvering target energy distributes among different range/Doppler cells because of the relative motion (including the radial velocity and acceleration) between the target and radar, making the traditional coherent detection methods lose efficacy [11,12]. In order to overcome the above problems and improve the signal-to-clutter and noise rate (SCNR), effective clutter suppression and coherent detection are required.…”

Section: Introductionmentioning

confidence: 99%

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Joint Implementation Method for Clutter Suppression and Coherent Maneuvering Target Detection Based on Sub-Aperture Processing with Airborne Bistatic Radar

Sun,

Jiang,

Zhang

et al. 2024

Remote Sensing

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An airborne bistatic radar working in downward-looking mode confronts two major challenges for low-altitude target detection. One is range cell migration (RCM) and Doppler migration (DM) resulting from the relative motion of the radar and target. The other is the non-stationarity characteristic of clutter due to the radar configuration. To solve these problems, this paper proposes a joint implementation method based on sub-aperture processing to achieve clutter suppression and coherent maneuvering target detection. Specifically, clutter Doppler compensation and sliding window processing are carried out to realize sub-aperture space–time processing, removing the clutter non-stationarity resulting from the bistatic geometric configuration. Thus, the output matrix of clutter suppression in the sub-aperture could be obtained. Then, the elements with the same phase of this matrix are superimposed and rearranged to achieve the reconstructed 2-D range-pluse echo matrix. Next, the aperture division with respect to slow time is conducted and the RCM correction based on modified location rotation transform (MLRT) and coherent integration (CI) are realized within each sub-aperture. Finally, the matched filtering process (MFP) is applied to compensate for the RCM/DM among different sub-apertures to coherently integrate the maneuvering target energy of all sub-apertures. The simulation and measured data processing results prove the validity of the proposed method.

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Section: Introductionmentioning

confidence: 99%

“…In terms of studies about coherent detection, the keystone transform (KT) was proposed and applied to correct the linear RCM via sinc interpolation along the slow-time dimension [11,28,29]. Then, the coherent integration (CI) of KT is completed by moving target detection (MTD).…”

Section: Introductionmentioning

confidence: 99%