Parameter optimization design method of missile-borne SAR system

被引：1
|
作者：
Guo Y. [1 ,2 ]
Suo Z. [1 ]
Wang T. [2 ]
Liao Z. [2 ]
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
[2] Sichuan Aerospace Electronic Equipment Research Institute, Chengdu
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2020年 / 42卷 / 07期
关键词：
Genetic algorithm (GA); Missile-borne synthetic aperture radar (SAR); Multiple azimuth beam position; Nonlinear constraint; Parameter design;
D O I：
10.3969/j.issn.1001-506X.2020.07.07
中图分类号：
学科分类号：
摘要：
By establishing a mathematical model for parameter optimization design of the missile-borne synthetic aperture radar (SAR), a parameter optimization design method for missile-borne SAR based on the genetic algorithm is proposed, which solves the problem of the system parameter optimization design for the missile-borne SAR under the condition of definite trajectory and multiple nonlinear constraints. This method can quickly obtain the system parameters which make the image performance optimal on the premise of meeting the requirements of the system indexes (resolution, width, data rate, noise equivalent backscatter coefficient, etc.). Meanwhile, this method is also applicable to the system parameter optimization design of multiple azimuth beam position modes. Simulation experiments based on the typical working parameters show the effectiveness of the proposed method. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1478 / 1483
页数：5
相关论文
共 19 条
  • [1] BAO Z, XING M D, WANG T., Radar imaging technology, (2005)
  • [2] CUMMING I G, WONG F H., Digital processing of synthetic aperture radar date: algorithm and implementation
  • [3] YIN W, DING Z G, LU X J, Et al., Beam scan mode analysis and design for Geosynch-ronous SAR, Science China Information Sciences, 17, 6, pp. 72-84, (2017)
  • [4] DING Z G, YIN W, ZENG T, Et al., Radar parameter design for geosynchronous SAR in squint mode and elliptical orbit, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 6, pp. 2720-2732, (2016)
  • [5] BARTON D K., Radar system analysis and modeling, IEEE Aerospace and Electronic Systems Magazine, 20, 4, pp. 23-25, (2005)
  • [6] ZHANG B C, ZHANG Z, JIANG C L, Et al., System design and first airborne experiment of sparse microwave imaging radar: initial results, Science China Information Sciences, 58, 6, pp. 95-104, (2015)
  • [7] YAO D, LI C X, JIE L, Et al., The squinted-looking SAR real-time imaging based on multi-core DSP, Proc.of the IET International Radar Conference, (2015)
  • [8] ZENG L T, LIANG Y, LI Z Y, Et al., A novel two-dimensional autofocus technique for high-resolution spotlight SAR, IET Signal Processing, 10, 6, pp. 699-707, (2016)
  • [9] DONG Q, YANG Z M, SUN G C, Et al., Missile-borne forward squint SAR time-domain imaging algorithm based on sub-region processing, Systems Engineering and Electronics, 39, 5, pp. 1013-1018, (2017)
  • [10] LIU Y, XING M D, SUN G C, Et al., Echo model analyses and imaging algorithm for high-resolution SAR on high-speed platform, IEEE Trans.on Geoscience & Remote Sensing, 50, 3, pp. 933-950, (2012)
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