Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging

ZHOU Hanfei; SU Yi; XI Zemin; LU Jianbin

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Article Navigation > Chinese Journal of Electronics > 2014 > 23(3): 621-627

ZHOU Hanfei, SU Yi, XI Zemin, et al., “Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 621-627, 2014,

Citation:

ZHOU Hanfei, SU Yi, XI Zemin, et al., “Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 621-627, 2014,

ZHOU Hanfei, SU Yi, XI Zemin, et al., “Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 621-627, 2014,

Citation:

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Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging

1.
College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China;
2.
School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

Funds: This work is supported by the National Natural Science Foundation of China (No.60972120, No.61171135).

Received Date: 2013-06-01
Rev Recd Date: 2014-03-01
Publish Date: 2014-07-05

Abstract

Abstract

This paper focuses on the analysis and design of Multi-aspect SAR (MuSAR) system for Compressive sensing-based (CS-based) 3D imaging. For this purpose,the Point ambiguous function (PAF) is proposed to analyze the factors that dominate the Mutual coherence (MC) of MuSAR sensing matrix. The PAF contacts with the parameters and configuration of MuSAR system directly and is easy to manipulate. With PAF, the present study analyzes the factors that dominate the performance of CS-based MuSAR 3D imaging. First of all, the stochastic waveform is an excellent selection. Second, the angular-frequency-diversity can improve the robustness of 3D imaging. Finally, the finer sampling of received data could improve the robustness of MuSAR 3D imaging. Simulation experiments show the validity of conclusion.
- Multi-aspect SAR (MuSAR),
- Compressive sensing (CS),
- Point ambiguous function (PAF),
- Radar imaging

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References(23)

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