2011
DOI: 10.3724/sp.j.1146.2010.01124
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An Imaging Algorithm for Missile-borne SAR with Downward Movement Based on Azimuth Nonlinear Chirp Scaling

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Cited by 7 publications
(7 citation statements)
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“…The conventional ESP [4] method does not focus on the accurate location of interference in the time domain but instead suppresses the interference within the whole pulse, which makes the uncontaminated signals within the pulse containing PRFI be decomposed. To solve this problem, this paper proposes an improved ESP-based interference suppression method, which only decomposes the data containing interference within the pulse with the help of accurate detection of the interference position.…”
Section: Sar Prfi Suppression Methods Based On the Improved Espmentioning
confidence: 99%
See 1 more Smart Citation
“…The conventional ESP [4] method does not focus on the accurate location of interference in the time domain but instead suppresses the interference within the whole pulse, which makes the uncontaminated signals within the pulse containing PRFI be decomposed. To solve this problem, this paper proposes an improved ESP-based interference suppression method, which only decomposes the data containing interference within the pulse with the help of accurate detection of the interference position.…”
Section: Sar Prfi Suppression Methods Based On the Improved Espmentioning
confidence: 99%
“…1) Detecting the pulses with PRFI. Obtain the maximum eigenvalue sequence of all pulse based on eigenvalue decomposition [4] (EVD), which is denoted as…”
Section: Sar Prfi Suppression Methods Based On the Improved Espmentioning
confidence: 99%
“…With current hardware technology, the antenna and the digital processor can be compacted into a very small and cheap flying platform for QMUAV SAR imaging. Being equipped with a SAR sensor on the UAV, high-resolution microwave images of the observed scene can be obtained to enhance its sensing capability under various environmental conditions (Coker and Tewfik, 2011;Zeng et al, 2015;Yang et al, 2015;Sun et al, 2013;Zhou et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…[9] refines the signal model of classic CS algorithm to implement precisely imaging in high squint. [10] improves the nonlinear chirp scaling algorithm to correct the range migration in the 2-dimenstion frequency and to compensate the azimuth variation of Doppler parameters. [11] corrects the range walk firstly and then employs the modified azimuth nonlinear chirp scaling to overcome the parameters variation.…”
Section: Introductionmentioning
confidence: 99%