引用本文: | 张倩,李宏博,张云,任航.星载多发多收SAR多维编码波形设计与分析[J].哈尔滨工业大学学报,2022,54(11):22.DOI:10.11918/202111058 |
| ZHANG Qian,LI Hongbo,ZHANG Yun,REN Hang.Design and analysis of spaceborne MIMO SAR multidimensional coding waveform[J].Journal of Harbin Institute of Technology,2022,54(11):22.DOI:10.11918/202111058 |
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摘要: |
多发多收合成孔径雷达(MIMO SAR)解决了传统SAR存在的高分宽幅矛盾。为提高MIMO SAR对通道之间干扰能量的抑制能力,采用多维波形编码技术进行系统设计,并研究了MIMO SAR的波形设计问题。针对两种新型信号形式:正负线调频信号及正交频分复用调制线调频信号,与短时移正交信号(STSO)进行对比分析及成像实验验证。根据MIMO SAR多个孔径同时发射信号、多个孔径同时接收回波的特点,结合多维波形编码技术进行回波处理。在俯仰维,利用数字波束合成技术进行多个子测绘带的划分,实现大测绘带成像;在方位维,利用多通道重构算法将周期非均匀采样的回波恢复为均匀采样,实现高分辨率成像,在此基础上开展新体制SAR发射信号的设计与成像实验验证。实验结果表明,较之其他两种信号,STSO信号的峰值旁瓣比、积分旁瓣比及分辨率等性能最优,对模糊能量抑制更为彻底,在MIMO SAR中性能良好,与传统SAR的性能近似。STSO在MIMO SAR体制中具有良好聚焦性能,且各项成像指标良好,在一定程度可降低系统设计的复杂度。 |
关键词: 合成孔径雷达 高分宽幅 多发多收 波形设计 多维波形编码 |
DOI:10.11918/202111058 |
分类号:TN959.74 |
文献标识码:A |
基金项目:国家自然科学基金(4,0,61201308) |
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Design and analysis of spaceborne MIMO SAR multidimensional coding waveform |
ZHANG Qian1,LI Hongbo2,ZHANG Yun,1,2,REN Hang1
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(1.School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China; 2.Key Laboratory of Marine Environmental Monitoring and Information Processing (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin 150001, China)
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Abstract: |
Multiple input multiple output synthetic aperture radar (MIMO SAR) can solve the high resolution and wide swath imaging conflicts of traditional SAR. To improve the suppression capability of MIMO SAR for echo signal interference between different channels, we adopted multidimensional waveform encoding technology to design system and studied the waveform design of MIMO SAR. Two typical signals in MIMO SAR (positive and negative linear frequency modulation signal and orthogonal frequency division modulation chirp) were selected and compared with short term shift orthogonal (STSO) signals. Considering the characteristics of multiple apertures simultaneously transmitting signal and receiving echo, MIMO SAR was combined with multidimensional waveform encoding technology for echo processing. Digital beam forming technology was used to divide multiple subswaths in distance dimension to achieve large mapping band imaging. In azimuth dimension, multichannel reconstruction algorithm was adopted to restore the periodic non-uniform sampling echo to uniform sampling, so as to achieve high resolution imaging, and then the design and imaging of the new SAR transmitting signal were carried out. Experimental results show that compared with other two signals, STSO signal had the best performance in terms of peak side lobe ratio, integral side lobe ratio, and resolution, which could suppress the fuzzy energy more thoroughly. STSO signal performed well in MIMO SAR, which was similar to that in traditional SAR. Besides, STSO had better focusing performance in MIMO SAR system with good imaging indexes, which could reduce system complexity. |
Key words: synthetic aperture radar (SAR) high resolution wide swath multiple input multiple output (MIMO) waveform design multidimensional waveform encoding |