TY - GEN
T1 - Doppler estimation using time reversal mirror for underwater acoustic time-varying multipath channel
AU - Luan, Yifu
AU - Yan, Shefeng
AU - Qin, Ye
AU - Xu, Lijun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - In underwater acoustic time-varying multipath channels, the traditional block Doppler estimation algorithm performs poorly. In this paper an improved Doppler estimation algorithm using virtual time reversal mirror is proposed. The proposed algorithm automatically matches multipath time-varying channels by focusing synchronous head of two adjacent fame-signals in the time domain, then measures the frame length accurately, and then the estimate of the Doppler shift is obtained. Any communication system transmitting signal by frame can employ the algorithm without additional assisting signals, and with acceptable increase in computational cost as well. The results of the sea experiment in Qingdao show the great reliability of this algorithm, and the Doppler shift can be estimated correctly in different types of time-varying multipath channels.
AB - In underwater acoustic time-varying multipath channels, the traditional block Doppler estimation algorithm performs poorly. In this paper an improved Doppler estimation algorithm using virtual time reversal mirror is proposed. The proposed algorithm automatically matches multipath time-varying channels by focusing synchronous head of two adjacent fame-signals in the time domain, then measures the frame length accurately, and then the estimate of the Doppler shift is obtained. Any communication system transmitting signal by frame can employ the algorithm without additional assisting signals, and with acceptable increase in computational cost as well. The results of the sea experiment in Qingdao show the great reliability of this algorithm, and the Doppler shift can be estimated correctly in different types of time-varying multipath channels.
KW - Doppler estimation
KW - time reversal mirror
KW - time-varying multipath channel
KW - underwater acoustic communication
UR - http://www.scopus.com/inward/record.url?scp=85049164758&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2017.8242406
DO - 10.1109/ICSPCC.2017.8242406
M3 - Conference contribution
AN - SCOPUS:85049164758
T3 - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
SP - 1
EP - 5
BT - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Y2 - 22 October 2017 through 25 October 2017
ER -