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Proceedings Paper

Interferometric SAR imaging by transmitting stepped frequency chaotic noise signals
Author(s): Yunhua Zhang; Xiang Gu; Wenshuai Zhai; Xiao Dong; Xiaojin Shi; Xueyan Kang
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Paper Abstract

Noise radar has been applied in many fields since it was proposed more than 50 years ago. However, it has not been applied to interferometric SAR imaging yet as far as we know. This paper introduces our recent work on interferometric noise radar. An interferometric SAR system was developed which can transmit both chirp signal and chaotic noise signal (CNS) at multiple carrier frequencies. An airborne experiment with this system by transmitting both signals was carried out, and the data were processed to show the capability of interferometric SAR imaging with CNS. The results shows that although the interferometric phase quality of CNS is degraded due to the signal to noise ratio (SNR) is lower compared with that of chirp signal, we still can get satisfied DEM after multi-looking processing. Another work of this paper is to apply compressed sensing (CS) theory to the interferometric SAR imaging with CNS. The CS theory states that if a signal is sparse, then it can be accurately reconstructed with much less sampled data than that regularly required according to Nyquist Sampling Theory. To form a structured random matrix, if the transmitted signal is of fixed waveform, then random subsampling is needed. However, if the transmitted signal is of random waveform, then only uniform subsampling is needed. This is another advantage of noise signal. Both the interferometric phase images and the DEMs by regular method and by CS method are processed with results compared. It is shown that the degradation of interferometric phases due to subsampling is larger than that of amplitude image.

Paper Details

Date Published: 15 October 2015
PDF: 10 pages
Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420M (15 October 2015); doi: 10.1117/12.2194620
Show Author Affiliations
Yunhua Zhang, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)
Xiang Gu, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)
Wenshuai Zhai, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)
Xiao Dong, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)
Xiaojin Shi, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)
Xueyan Kang, Key Lab. of Microwave Remote Sensing (China)
Ctr. for Space Science and Applied Research (China)


Published in SPIE Proceedings Vol. 9642:
SAR Image Analysis, Modeling, and Techniques XV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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