23 September 2017 Fast, accurate, and robust frequency offset estimation based on modified adaptive Kalman filter in coherent optical communication system
Yanfu Yang, Qian Xiang, Qun Zhang, Zhongqing Zhou, Wen Jiang, Qianwen He, Yong Yao
Author Affiliations +
Abstract
We propose a joint estimation scheme for fast, accurate, and robust frequency offset (FO) estimation along with phase estimation based on modified adaptive Kalman filter (MAKF). The scheme consists of three key modules: extend Kalman filter (EKF), lock detector, and FO cycle slip recovery. The EKF module estimates time-varying phase induced by both FO and laser phase noise. The lock detector module makes decision between acquisition mode and tracking mode and consequently sets the EKF tuning parameter in an adaptive manner. The third module can detect possible cycle slip in the case of large FO and make proper correction. Based on the simulation and experimental results, the proposed MAKF has shown excellent estimation performance featuring high accuracy, fast convergence, as well as the capability of cycle slip recovery.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2017/$25.00 © 2017 SPIE
Yanfu Yang, Qian Xiang, Qun Zhang, Zhongqing Zhou, Wen Jiang, Qianwen He, and Yong Yao "Fast, accurate, and robust frequency offset estimation based on modified adaptive Kalman filter in coherent optical communication system," Optical Engineering 56(9), 096109 (23 September 2017). https://doi.org/10.1117/1.OE.56.9.096109
Received: 7 July 2017; Accepted: 30 August 2017; Published: 23 September 2017
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Filtering (signal processing)

Optical communications

Sensors

Signal detection

Quadrature amplitude modulation

Digital signal processing

Telecommunications

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