Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (1): 78-84.doi: 10.21629/JSEE.2019.01.08

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Multi-baseline extended particle filtering phase unwrapping algorithm based on amended matrix pencil model and quantized path-following strategy

Xianming XIE*(), Qingning ZENG()   

  • Received:2018-03-12 Online:2019-02-27 Published:2019-02-27
  • Contact: Xianming XIE E-mail:xxmxgm@163.com;qingningzeng@126.com
  • About author:XIE Xianming was born in 1979. He has received his Ph.D. degree in signal and information processing from University of Electronic Science and Technology of China, Chengdu, China, in 2011. His research interests include synthetic aperture radar signal processing, microwave remote sensing for digital elevation models, and phase unwrapping with application in adaptive optics, speckle imaging, digital holographic microscopy (DHM), and interferometric synthetic aperture radar, as well as interferometic synthetic aperture sonar. E-mail:xxmxgm@163.com|ZENG Qingning was born in 1963. He has received his Ph.D. degree in electrical and electronic engineering from University of Auckland, New Zealand, in 2010. His research interests include speech signal processing, image signal processing and transient electromagnetic method. E-mail:qingningzeng@126.com
  • Supported by:
    the National Natural Science Foundation of China(41661092);the National Natural Science Foundation of China(61461011);the Natural Science Foundation of Guangxi Province(2014GXNSFBA118273);This work was supported by the National Natural Science Foundation of China (41661092; 61461011) and the Natural Science Foundation of Guangxi Province (2014GXNSFBA118273)

Abstract:

This paper proposes a new multi-baseline extended particle filtering phase unwrapping algorithm which combines an extended particle filter with an amended matrix pencil model and a quantized path-following strategy. The contributions to multibaseline synthetic aperture radar (SAR) interferometry are as follows: a new recursive multi-baseline phase unwrapping model based on an extended particle filter is built, and the amended matrix pencil model is used to acquire phase gradient information with a higher precision and lower computational cost, and the quantized path-following strategy is introduced to guide the proposed phase unwrapping procedure to efficiently unwrap wrapped phase image along the paths routed by a phase derivative variance map.

Key words: multi-baseline phase unwrapping, interferometric synthetic aperture radar (InSAR), extended particle filter