TY - GEN
T1 - Parameters estimation for underwater Doppler signal using unscented Kalman filter
AU - Feng, Tian
AU - Yixin, Yang
AU - Yaozhen, Wu
AU - Long, Yang
PY - 2013
Y1 - 2013
N2 - Doppler processing techniques can be used to estimate the parameters of line-spectrum acoustic sources of an underwater target with constant velocity. Previous estimation methods are based on observed frequency or phase which describes the time varying Doppler shift. Because of the low-frequency and low-speed characteristics of underwater linespectrum noise source, the Doppler shift is very tiny and can hardly be detected accurately. It is difficult to estimate the parameters by the previous approaches. A method of underwater Doppler signal parameters estimation based on the unscented Kalman filter is presented in this paper. The signal and measurement systems are placed into state-space form, therefore allowing the unknown parameters of the signal model to be estimated. As a result, the accurate estimation of instantaneous frequency can be avoided. Simulation results are presented to demonstrate the feasibility of the proposed method.
AB - Doppler processing techniques can be used to estimate the parameters of line-spectrum acoustic sources of an underwater target with constant velocity. Previous estimation methods are based on observed frequency or phase which describes the time varying Doppler shift. Because of the low-frequency and low-speed characteristics of underwater linespectrum noise source, the Doppler shift is very tiny and can hardly be detected accurately. It is difficult to estimate the parameters by the previous approaches. A method of underwater Doppler signal parameters estimation based on the unscented Kalman filter is presented in this paper. The signal and measurement systems are placed into state-space form, therefore allowing the unknown parameters of the signal model to be estimated. As a result, the accurate estimation of instantaneous frequency can be avoided. Simulation results are presented to demonstrate the feasibility of the proposed method.
KW - Doppler parameters estimation
KW - Doppler shift
KW - Underwater signal processing
KW - Unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=84892507866&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2013.6664111
DO - 10.1109/ICSPCC.2013.6664111
M3 - 会议稿件
AN - SCOPUS:84892507866
SN - 9781479910274
T3 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
BT - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
T2 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Y2 - 5 August 2013 through 8 August 2013
ER -