DocumentCode
1797153
Title
Efficient parameter estimation method for high dynaimc DSSS signal
Author
Shuang Wu ; Wei Cui ; Lin Li ; Jiangang Hou ; Jing Tian
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2014
fDate
9-13 July 2014
Firstpage
597
Lastpage
601
Abstract
This paper proposes an efficient parameter estimation method (DIKT) based on Keystone transform (KT), dimension reduction and inverse Keystone transform (IKT) to counteract the high dynamic effects over a long coherent integration time. In this method, first-order KT is first applied to blindly correct the linear code phase drift. Then, dimension reduction is carried out meanwhile a new coordinate transformation, named IKT, is derived. After that, IKT is employed to remove the residual quadratic code phase drift, followed by Doppler rate estimation. After compensating the Doppler rate term, Doppler shift and initial range are finally estimated simultaneously. The proposed method can overcome high dynamic effects without prior-knowledge of the target. Furthermore, it has low computational complexity, making it easy for the hardware implement and real-time processing. Simulation results verify the effectiveness of the proposed method.
Keywords
computational complexity; linear codes; parameter estimation; signal processing; spread spectrum communication; transforms; DIKT; Doppler rate estimation; Doppler rate term; IKT; computational complexity; coordinate transformation; dimension reduction; direct sequences spread spectrum; dynaimc DSSS signal; efficient parameter estimation method; inverse Keystone transform; linear code phase drift; real-time processing; residual quadratic code phase drift; Accuracy; Doppler effect; Estimation; Indexes; Parameter estimation; Signal to noise ratio; Transforms; Keystone transform (KT); dimension reduction; direct sequences spread spectrum (DSSS) signal; high dynamic effects; inverse Keystone transform (IKT);
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-5401-8
Type
conf
DOI
10.1109/ChinaSIP.2014.6889313
Filename
6889313
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