Title :
Wideband sonar imaging via compressed sensing
Author :
Huichen Yan ; Shibao Peng ; Zhaotong Zhu ; Jia Xu ; Xudong Zhang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
In order to solve the contradiction of high azimuth resolution and wide swath in sonar and radar imaging, narrowband compressed sensing (CS) imaging has been studied in depth. This paper studies the wideband sonar imaging method via CS. Wideband CS imaging model is constructed. Scaling and Doppler frequency shift are considered in the model. The effect of wideband signal to traditional narrowband model is analyzed. Wideband CS imaging method is constructed. A modified ℓ1-norm minimization algorithm is proposed. It is shown that it is possible to apply CS to wideband sonar imaging. Numerical experiments are conducted and demonstrates the analysis.
Keywords :
Doppler shift; compressed sensing; minimisation; sonar imaging; ℓ1-norm minimization algorithm; Doppler frequency shift; azimuth resolution; narrowband compressed sensing imaging; radar imaging; wide swath; wideband CS imaging model; wideband sonar imaging method; Coherence; Compressed sensing; Imaging; Minimization; Radar imaging; Sonar; Wideband;
Conference_Titel :
OCEANS 2014 - TAIPEI
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-3645-8
DOI :
10.1109/OCEANS-TAIPEI.2014.6964457