Improved carrier phase estimation algorithms for optical coherent systems

2012 ◽  
Author(s):  
Jihong Liu
Keyword(s):  
Carrier Phase ◽  
Phase Estimation ◽  
Coherent Systems ◽  
Estimation Algorithms

Multiplier-Free Carrier Phase Estimation for Optical Coherent Systems

2016 ◽  
Vol 28 (20) ◽  
pp. 2168-2171 ◽  
Author(s):  
Jilong Han ◽  
Wei Li ◽  
Zhixue He ◽  
Qianggao Hu ◽  
Shaohua Yu
Keyword(s):  
Carrier Phase ◽  
Free Carrier ◽  
Phase Estimation ◽  
Coherent Systems

scholarly journals Multi-Pilot Aided Carrier Phase Estimation for Single Carrier Coherent Systems

2015 ◽  
Author(s):  
Milutin Pajovic ◽  
David S. Millar ◽  
Toshiaki Koike-Akino ◽  
Keisuke Kojima ◽  
Valeria Arlunno ◽  
...  
Keyword(s):  
Carrier Phase ◽  
Phase Estimation ◽  
Coherent Systems ◽  
Single Carrier

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

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