Utilization of underwater particle velocity channels for data transmission: Signals, channels and system performance

Recent studies have shown that a vector sensor can serve as a multichannel receiver in underwater communication systems. Here we propose a method to transmit data via the recently introduced underwater particle velocity channels, using a vector dipole sensor. System and channel equations are derived, and system performance results are presented. The results show the possibility of data transmission using a vector sensor in these new channels.

[1]  Robert J. Urick,et al.  Principles of underwater sound , 1975 .

[2]  Andreas F. Molisch,et al.  Wireless Communications , 2005 .

[3]  Adam Zielinski,et al.  Performance analysis of digital acoustic communication in a shallow water channel , 1995, IEEE Journal of Oceanic Engineering.

[4]  Naofal Al-Dhahir,et al.  Single-carrier frequency-domain equalization for space-time block-coded transmissions over frequency-selective fading channels , 2001, IEEE Communications Letters.

[5]  S. Nishifuji,et al.  On-line sensing system of dynamic ship’s attitude by use of servo-type accelerometers , 1995, IEEE Journal of Oceanic Engineering.

[6]  Qian Ma,et al.  On the performance of linear equalizers for block transmission systems , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[7]  Ramakrishnan Janaswamy,et al.  Radiowave Propagation and Smart Antennas for Wireless Communications , 2000 .

[8]  Shuichi Ohno,et al.  Performance of Single-Carrier Block Transmissions Over Multipath Fading Channels With Linear Equalization , 2006, IEEE Transactions on Signal Processing.

[9]  Ali Abdi,et al.  A new compact multichannel receiver for underwater wireless communication networks , 2009, IEEE Transactions on Wireless Communications.

[10]  Ali Abdi,et al.  Signal Correlation Modeling in Acoustic Vector Sensor Arrays , 2009, IEEE Transactions on Signal Processing.

[11]  Charles H. Sherman,et al.  Transducers and Arrays for Underwater Sound , 2008 .

[12]  Gregory D. Durgin,et al.  Space-Time Wireless Channels , 2002 .

[13]  Adam Zielinski,et al.  Performance analysis of digital acoustic communication in a shallow water channel , 1995, IEEE Journal of Oceanic Engineering.

[14]  Reinaldo A. Valenzuela,et al.  A generalized space-time multiple-input multiple-output (MIMO) channel model , 2004, IEEE Transactions on Wireless Communications.

[15]  Sailes K. Sengijpta.  Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .