Statistical space-time-frequency characterization of MIMO shallow water acoustic channels

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Alenka G. Zajic
Keyword(s):  
Shallow Water ◽  
Space Time ◽  
Time Frequency ◽  
Statistical Space

Robust recognition and characterization of man‐made objects in shallow water using time‐frequency analysis

2008 ◽  
Vol 123 (5) ◽  
pp. 3945-3945
Author(s):  
Shaun D. Anderson ◽  
Karim G. Sabra ◽  
Manell E. Zakharia ◽  
Mario Zampolli ◽  
Henrik Schmidt ◽  
...  
Keyword(s):  
Shallow Water ◽  
Frequency Analysis ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Robust Recognition

Bistatic detection and imaging of proud targets in shallow water using coherent space‐time‐frequency processing.

2011 ◽  
Vol 129 (4) ◽  
pp. 2664-2664 ◽  
Author(s):  
Shaun D. Anderson ◽  
Karim G. Sabra
Keyword(s):  
Shallow Water ◽  
Space Time ◽  
Time Frequency ◽  
Frequency Processing

Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage

2012 ◽  
Author(s):  
B. Direito ◽  
C. Teixeira ◽  
B. Ribeiro ◽  
M. Castelo-Branco ◽  
A. Dourado
Keyword(s):  
Space Time ◽  
Time Frequency

Space-Time-Frequency Characterization of Non-Isotropic MIMO Mobile-to-Mobile Multicarrier Ricean Fading Channels

2008 ◽  
Author(s):  
Xiang Cheng ◽  
Cheng-Xiang Wang ◽  
David I. Laurenson ◽  
Hsiao-Hwa Chen ◽  
Athanasios V. Vasilakos
Keyword(s):  
Fading Channels ◽  
Space Time ◽  
Ricean Fading ◽  
Time Frequency

Transactions Papers - Space-time-frequency characterization of MIMO wireless channels

2006 ◽  
Vol 5 (9) ◽  
pp. 2369-2375 ◽  
Author(s):  
S. Gazor ◽  
H.S. Rad
Keyword(s):  
Wireless Channels ◽  
Space Time ◽  
Time Frequency

Improving Space-Time-Frequency MIMO-OFDM with ICI Self-Cancellation Scheme using Least Square Error Estimator

2015 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
Nur Farahiah Ibrahim ◽  
Zahari Abu Bakar ◽  
Azlina Idris
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Symbol Error Rate ◽  
Space Time ◽  
Least Square ◽  
Error Estimator ◽  
Frequency Diversity ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Subcarrier Mapping

Channel estimation techniques for Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) based on comb type pilot arrangement with least-square error (LSE) estimator was investigated with space-time-frequency (STF) diversity implementation. The frequency offset in OFDM effected its performance. This was mitigated with the implementation of the presented inter-carrier interference self-cancellation (ICI-SC) techniques and different space-time subcarrier mapping. STF block coding in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel was fed into a decoder which combined the STF decoding together with the estimated channel coefficients using LSE estimator for equalization. The performance of the system was compared by measuring the symbol error rate with a PSK-16 and PSK-32. The results show that subcarrier mapping together with ICI-SC were able to increase the system performance. Introduction of channel estimation was also able to estimate the channel coefficient at only 5dB difference with a perfectly known channel.

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