TY - JOUR
T1 - Performance evaluation of joint passive time reversal and adaptive decision feedback equalizer in shallow water environment
AU - Widiarti, Yuning
AU - Wirawan,
AU - Suwadi,
N1 - Publisher Copyright:
© 2019 Journal of Communications.
PY - 2019
Y1 - 2019
N2 - Underwater wireless communication is growing rapidly along with human needs for applications such as defense, state security, underwater control, and monitoring system. The underwater acoustic channel has many challenges such as selectivity time-space, frequency dependent noise, Doppler shift, and intersymbol interference on transmission. Time Reversal is an effective method for dealing with inter-symbol interference. In TR a signal is precoded in such a way that it focuses both in time and in space at a particular receiver. This paper evaluates the performance of joint Passive Time Reversal and Adaptive Decision Feedback Equalizer (PTR-ADFE) technique in shallow water environment. Geometry-based channel model and environmental parameters are used. In addition, the modification of the LMS algorithm at Decision Feedback Equalizer is done to improve the performance of the PTR-ADFE communication system. The simulation results show that the Bit-Error-Rate (BER) of PTR-ADFE increases significantly when compared to the BER value of equalization technique.
AB - Underwater wireless communication is growing rapidly along with human needs for applications such as defense, state security, underwater control, and monitoring system. The underwater acoustic channel has many challenges such as selectivity time-space, frequency dependent noise, Doppler shift, and intersymbol interference on transmission. Time Reversal is an effective method for dealing with inter-symbol interference. In TR a signal is precoded in such a way that it focuses both in time and in space at a particular receiver. This paper evaluates the performance of joint Passive Time Reversal and Adaptive Decision Feedback Equalizer (PTR-ADFE) technique in shallow water environment. Geometry-based channel model and environmental parameters are used. In addition, the modification of the LMS algorithm at Decision Feedback Equalizer is done to improve the performance of the PTR-ADFE communication system. The simulation results show that the Bit-Error-Rate (BER) of PTR-ADFE increases significantly when compared to the BER value of equalization technique.
KW - Adaptive DFE (ADFE)
KW - Geometry-based channel model
KW - Inter-symbol interference (ISI)
KW - Modified LMS
KW - PTR communication
KW - Shallow water environment
UR - http://www.scopus.com/inward/record.url?scp=85073512966&partnerID=8YFLogxK
U2 - 10.12720/jcm.14.11.1059-1066
DO - 10.12720/jcm.14.11.1059-1066
M3 - Article
AN - SCOPUS:85073512966
SN - 1796-2021
VL - 14
SP - 1059
EP - 1066
JO - Journal of Communications
JF - Journal of Communications
IS - 11
ER -