Leveraging Advance Sonar Processing Techniques for Underwater Acoustic Multi-Input Multi-Output CommunicationsBrian SteinUniversity of Texas AustinProblem Statement●Solution: spatial diversity –MIMO: capacity increase with number of antennas–Sonar arraysFig. 1. Theoretical relationship between SNR, number of antennas and capacity.●High rate underwater acoustic (UWA) communication difficult to achieve - low propagation speed (1500m/s)- constrained bandwidth (~1MHz)Key Paper #1 [Kilfoyle et al, 2005]●Experimental investigation of MIMO in the UWA channel that quantified–Improved SNR–Increased capacityKey Paper #2 [Godara 1997]●Use of antenna arrays–Improved spectrum efficiency–Increased channel capacity–Extended range coverage–Steer beams/nulls toward targets●Array processing techniques withapplication to wireless comm. –Beamforming –Null Steering–Optimal CombiningKey Paper #3 [Chen et al, 2005]●Propose an adaptive beamformerfor improved communications–Bit-error rate (BER) minimization–Significant BER improvement over minimum mean-square errorCombining Approaches●MIMO seeks to utilize multiple, resolvable propagation paths to create parallel communication channels –Spatial array filtering provides intuitive solution●Eliminate the need for lengthy equalizers●Constrain signal power in direction of receiver●Future research–Development of receiver architecture–Comparison with traditional MIMO
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