An Anti-Noise Strategy of SAR Based on Compressive Sensing

Abstract:

In conventional synthetic aperture radar (SAR) systems, the resolution of SAR image is basically constrained by Nyquist sampling rate. It increases the requirement on A/D converter and the capacity of memories with higher resolution requirements. Compressive sensing (CS) is a possible solution to these problems. From the viewpoint of CS, sparse signals can be reconstructed from a small set of their linear measurements. In this paper, we proposed a strategy of SAR based on compressive sensing. Raw data from SAR are processed by the method of CS in the range direction with random convolution matrix as its recovery matrix firstly, and after reconstruction of the range direction the conventional azimuth compression with the use of matched filtering is carried out. The simulation results are given to prove the feasibility of the strategy. Compared to the conventional method, the proposed strategy has lower sidelobes in the range direction. Furthermore, the proposed method also possesses the anti-noise capability to certain extent.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 1937-1940
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.1937
• Online since: November 2011
• Authors: Zhi Zhen Zhu, Zhi Da Zhang, Fa Lin Liu, Bin Bing Li
• Keywords: Compressive Sensing (CS), Range Direction, Sidelobe, Signal-to-Noise Ratio (SNR), Synthetic Aperture Radar (SAR)

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