Parameterized wideband interference suppression for SAR imaging based on HAF

被引：3
|
作者：
Li D. [1 ]
Zhan M. [1 ]
Fang Z. [1 ]
Xiong H. [2 ]
Jiang Q. [1 ]
机构：
[1] Key Laboratory of Aerocraft Tracking Telemetering & Command and Communication, Ministry of Education, Chongqing University, Chongqing
[2] Department of Communication Engineering, Chongqing University, Chongqing
来源：
| 1600年 / Chinese Institute of Electronics卷 / 39期
关键词：
Aliasing resolved; High-order ambiguity function (HAF); Polynomial phase signal (PPS); Synthetic aperture radar (SAR); Wideband interference (WBI) suppression;
D O I：
10.3969/j.issn.1001-506X.2017.03.09
中图分类号：
学科分类号：
摘要：
Wideband interference (WBI), as one of the common forms of interference in synthetic aperture radar (SAR), significantly reduces the quality of SAR images and is always difficult to tackle. For the problem that the WBI is difficult to identify, a WBI recognition method based on the statistical feature of adjacent pulses is presented firstly. Based on that, a novel parameterized WBI suppression method for SAR imaging is proposed. First, WBI signal is modelled as a polynomial phase signal (PPS), and then the high-order ambiguity function (HAF) as well as the corresponding aliasing resolved method are adopted to estimate the coefficients of PPS. According to obtained coefficients, the WBI signals can be transformed into narrowband interference (NBI) signal, and then the exis-ting NBI suppression method can be utilized to remove interference of echo signal. Finally, the computer simulation results and the measured data processing results show the effectiveness of the proposed method. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码：514 / 521
页数：7
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