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论文:2016,Vol:34,Issue(3):374-379 |
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引用本文： |
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谭歆, 冯晓毅, 王保平, 程伟, 方阳. 基于压缩感知的微波暗室稀疏阵列RMA成像[J]. 西北工业大学学报 |
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Tan Xin, Feng Xiaoyi, Wang Baoping, Cheng Wei, Fang Yang. Thinned Array Antennas RMA Imaging in Microwave Anechoic Chamber Based on Compressed Sensing[J]. Northwestern polytechnical university |
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| 基于压缩感知的微波暗室稀疏阵列RMA成像 |
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| 谭歆1,2, 冯晓毅1, 王保平1, 程伟1, 方阳1 |
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1. 西北工业大学 电子信息学院, 陕西 西安 710129;
2. 陕西科技大学 电气与信息工程学院, 陕西 西安 710021 |
| 摘要: |
| 稀疏阵列天线可有效降低微波成像系统规模和处理复杂度,但成像过程中,方位孔径数据采样率无法满足Nyquist采样定律要求时,将导致成像结果模糊或者混叠。对此,提出一种基于压缩感知理论的微波暗室稀疏阵列RMA成像算法。首先在微波暗室中搭建稀疏阵列天线成像模型,其次将方位向稀疏采样回波数据进行幅度校正和相位误差补偿,然后通过压缩感知理论进行回波信号的高精度重构,最终完成RMA成像。该算法实现以较大的空间采样间隔的稀疏阵列RMA高分辨成像,并利用微波暗室实测数据验证了所提算法的可行性和有效性。 |
| 关键词:
压缩感知(CS)
微波暗室
稀疏阵列天线
RMA成像
信号重构
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| Thinned Array Antennas RMA Imaging in Microwave Anechoic Chamber Based on Compressed Sensing |
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| Tan Xin1,2, Feng Xiaoyi1, Wang Baoping1, Cheng Wei1, Fang Yang1 |
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1. School of Electronics Information, Northwestern Polytechnical University, Xi'an 710129, China;
2. School of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China |
| Abstract: |
| The thinned array antennas can effectively reduce the scale and processing complexity of microwave imaging system, but it will lead to image blur or aliasing while the data sampling rate of azimuthal aperture can not meet the requirements of the Nyquist sampling theorem in the imaging process. Thus, thinned array antenna RMA imaging algorithm for the microwave anechoic chamber based on Compressed Sensing is proposed in the paper. Firstly, thinned array antenna imaging system model in the microwave anechoic chamber is established, secondly, amplitude correction and phase error compensation about the sparse sampling azimuthal echo data is accomplished, then echo signal is reconstructed precisely by Compressed Sensing theory, the final RMA imaging is obtained. The larger space sampling interval thinned array RMA high resolution imaging is achieved by the algorithm, and the data from microwave anechoic chamber is used to verify the validity and feasibility of the algorithm. |
| Key words:
Compressed Sensing(CS)
microwave anechoic chamber
thinned array antennas
RMA imaging algorithm
signal reconstruction
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| 收稿日期: 2015-09-24
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61472324、61401360)及中央高校基本科研业务费专项资金(3102014JCQ01055)资助 |
| 通讯作者:
Email： |
| 作者简介: 谭歆(1978—),西北工业大学博士研究生,主要从事微波雷达成像及压缩感知雷达信号处理的研究。
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| 作者相关文章 |
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| 谭歆 在本刊中的所有文章 |
| 冯晓毅 在本刊中的所有文章 |
| 王保平 在本刊中的所有文章 |
| 程伟 在本刊中的所有文章 |
| 方阳 在本刊中的所有文章 |
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