Non-data-aided timing recovery algorithm for MIL-STD SOQPSK

The phase trajectory of military standard (MIL-STD) shaped-offset quadrature phase shift keying (SOQPSK) is analysed and the fourth-power nonlinearity and phase accumulation technology is used to eliminate the self-noise caused by symbol information. After the operation, the MIL-STD SOQPSK signal is...

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Bibliographic Details
Published in:Electronics letters Vol. 51; no. 5; pp. 423 - 425
Main Authors: Wang, Qifeng, Huang, Benxiong, Xu, Zhengguang
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 05.03.2015
Subjects:
Algorithms
Computer simulation
Cramer-Rao bounds
Cramer–Rao bound
fourth‐power nonlinearity
Military
military communication
military standard
military standards
MIL‐STD SOQPSK
Nonlinearity
non‐data‐aided timing recovery algorithm
phase accumulation technology
quadrature phase shift keying
shaped‐offset quadrature phase shift keying
symbol information
Symbols
synchronisation
Time measurements
Wireless communications
phase accumulation technology
military standard
quadrature phase shift keying
symbol information
shaped-offset quadrature phase shift keying
synchronisation
MIL-STD SOQPSK
Cramer–Rao bound
fourth-power nonlinearity
military communication
computer simulation
non-data-aided timing recovery algorithm
military standards
ISSN:0013-5194, 1350-911X, 1350-911X
Online Access:Get full text
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Description
Summary:The phase trajectory of military standard (MIL-STD) shaped-offset quadrature phase shift keying (SOQPSK) is analysed and the fourth-power nonlinearity and phase accumulation technology is used to eliminate the self-noise caused by symbol information. After the operation, the MIL-STD SOQPSK signal is converted into a pure tone during a symbol period and the timing offset is estimated from the initial phase of the tone. Computer simulation shows that its estimation performance is remarkably close to the modified Cramer-Rao bound and better than that of the existing non-data-aided method in terms of estimation accuracy.
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ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2014.4016