Distinguishing ability analysis of compressed sensing radar imaging based on information theory model

Hai Jiang; Bingchen Zhang; Yueguan Lin; Wen Hong; Yirong Wu

doi:10.1117/12.897595

26 October 2011 Distinguishing ability analysis of compressed sensing radar imaging based on information theory model

Hai Jiang, Bingchen Zhang, Yueguan Lin, Wen Hong, Yirong Wu

Proceedings Volume 8179, SAR Image Analysis, Modeling, and Techniques XI; 81790S (2011) https://doi.org/10.1117/12.897595
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Recent theory of compressed sensing (CS) has been widely used in many application areas. In this paper, we mainly concentrate on the CS in radar and analyze the distinguishing ability of CS radar image based on information theory model. The information content contained in the CS radar echoes is analyzed by simplifying the information transmission channel as a parallel Gaussian channel, and the relationship among the signal-to-noise ratio (SNR) of the echo signal, the number of required samples, the length of the sparse targets and the distinguishing level of the radar image is gotten. Based on this result, we introduced the distinguishing ability of the CS radar image and some of its properties are also gotten. Real IECAS advanced scanning two-dimensional railway observation (ASTRO) data experiment demonstrates our conclusions.

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Hai Jiang, Bingchen Zhang, Yueguan Lin, Wen Hong, and Yirong Wu "Distinguishing ability analysis of compressed sensing radar imaging based on information theory model", Proc. SPIE 8179, SAR Image Analysis, Modeling, and Techniques XI, 81790S (26 October 2011); https://doi.org/10.1117/12.897595

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KEYWORDS

Radar

Radar imaging

Signal to noise ratio

Compressed sensing

Image resolution

Imaging systems

Data modeling

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