TY - GEN
T1 - Efficient parameter estimation method for high dynaimc DSSS signal
AU - Wu, Shuang
AU - Cui, Wei
AU - Li, Lin
AU - Hou, Jiangang
AU - Tian, Jing
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/3
Y1 - 2014/9/3
N2 - 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.
AB - 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.
KW - Keystone transform (KT)
KW - dimension reduction
KW - direct sequences spread spectrum (DSSS) signal
KW - high dynamic effects
KW - inverse Keystone transform (IKT)
UR - http://www.scopus.com/inward/record.url?scp=84929411080&partnerID=8YFLogxK
U2 - 10.1109/ChinaSIP.2014.6889313
DO - 10.1109/ChinaSIP.2014.6889313
M3 - Conference contribution
AN - SCOPUS:84929411080
T3 - 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
SP - 597
EP - 601
BT - 2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
Y2 - 9 July 2014 through 13 July 2014
ER -