<![CDATA[ IEEE Journal of Oceanic Engineering - new TOC ]]>
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TOC Alert for Publication# 48 2017January 19<![CDATA[Table of contents]]>42112146<![CDATA[Editorial]]>4211131<![CDATA[Excellence in Review 2016]]>42124706<![CDATA[An Autonomous Water Monitoring and Sampling System for Small-Sized ASVs]]>421512557<![CDATA[Task Space Control of an Autonomous Underwater Vehicle Manipulator System by Robust Single-Input Fuzzy Logic Control Scheme]]>42113281524<![CDATA[A Method of Observing Acoustic Scattering and Absorption By Fish Schools Using Autonomous Underwater Vehicles]]>4212936768<![CDATA[A USV-Based Automated Launch and Recovery System for AUVs]]>42137552544<![CDATA[The High-Frequency Coastal Radar Network Operated by Puertos del Estado (Spain): Roadmap to a Fully Operational Implementation]]>in situ sensors are required to provide upper bounds on both radial and total radar current measurement accuracies. Consistent correlation coefficients and uncertainty values emerge in the range of 0.31–0.81 and 8–22 cm/s, respectively, for the remotely estimated velocities. Complementarily, a dedicated online website has been developed to operationally monitor radar system health in real time. This automated quality control application analyzes a number of diagnose parameters to obtain estimates of their standard ranges and evaluate radar site performance according to them. Abrupt changes, gradual degradation, and/or failure problems can be easily detected, triggering alerts for troubleshooting. Once a good performance of HF radar systems is ensured, 2-D surface current maps are used for a broad range of practical applications, i.e., search-and-rescue operations, oil spill response, or the rigorous skill assessment of an operational ocean forecasting system such as Iberia–Biscay–Ireland (IBI), implemented within the frame of the Copernicus Marine Environment Monitoring Service.]]>42156725690<![CDATA[Satellite-Based Offshore Wind Resource Assessment in the Mediterranean Sea]]>$sim $1600 W/m${}^{2}$) and the Aegean Sea (with mean annual wind power density up to $sim $1150 W/m${}^{2}$), that are certainly worth further in-depth assessment for exploiting offshore wind energy. Finally, based on the available offshore wind resource potential and the water depth suitability, three specific sites (in the Gulf of Valencia and the Adriatic and Ionian Seas) are selected and the average wind power output for a specific wind turbine type is estimated.]]>42173861738<![CDATA[Low-Complexity Adaptive Sonar Imaging]]>$3$ -dB width of the window's amplitude response. Using experimental data from the Kongsberg Maritime HISAS1030 sonar we find that LCA and MVDR produce nearly identical images of large scenes, both being superior to DAS. On point targets LCA is able to double the resolution compared to DAS, or provide half that of MVDR. This performance is achieved with a total of six windows: the rectangular window and the Kaiser window with $beta =5$, in an unsteered version, and versions that are left and right steered to the steering limit. Slightly smoother images are produced if the window count is increased to 15, but past this we observe minimal difference. Finally, we show that LCA works just as well if Kaiser windows are substituted with trigonometric ones. All our observations and experiences point to LCA being very easy to understand and manage. It simply works, and is surprisingly insensitive to the exact type of window function, stee-
ing amount, or number of windows. It can be efficiently implemented on parallel hardware, and handles any scene without the need for parameter adjustments.]]>42187961371<![CDATA[Ultrawideband Underwater Real-Time 3-D Acoustical Imaging With Ultrasparse Arrays]]>42197108698<![CDATA[The Generalized Sinusoidal Frequency-Modulated Waveform for Active Sonar]]>421109123992<![CDATA[Generalized MUSIC-Like Array Processing for Underwater Environments]]>$beta $ for the proposed generalized MUSIC-like algorithm is also discussed in this paper. Performance study using Monte Carlo simulations shows that the proposed generalized MUSIC-like algorithm has the same resolving power as the MUSIC method but slightly poorer accuracy in direction-of-arrival (DOA) estimation. This paper also presents the results from real data processing by the generalized MUSIC-like algorithm and demonstrates better resolving power than the Capon and MUSIC algorithms used consistently in the experiment.]]>4211241343629<![CDATA[A Bayesian Method for Localization by Multistatic Active Sonar]]>421135142842<![CDATA[Bounds for Low Probability of Detection for Underwater Acoustic Communication]]>421143155753<![CDATA[Throughput-Efficient Super-TDMA MAC Transmission Schedules in <italic>Ad Hoc</italic> Linear Underwater Acoustic Networks]]>$N$-node network, we develop transmission schedules achieving a normalized network throughput of $2 - (2/N)$. This is the best that can be done in such a context, as demonstrated using a general greedy approach combined with an exhaustive search for small-size networks. 2) Single collision domain with broadcast traffic. We propose a periodic per-node fair schedule with the shortest period. Achievable throughput in such conditions is close to $N/2$. Likewise, we prove that the throughput is upper bounded by $N - 1$ under the per-node fairness constraint. 3) Partially overlapping collision domains with unicast traffic. We consider a simple illustration of such a configuration. The proposed transmission schedule depicts a scenario where messages origi-
ate at one end of the network, and are sequentially relayed node by node (i.e., hop by hop) in the direction of the final destination located at the other end of the network. Furthermore, for all three discussed contexts, we build up computationally efficient algorithms that generate transmission schedules regardless of network size. We explore the idea of exploiting nonzero propagation delays for linear topologies to improve network throughput. In recent UWA sensor networks, the linear topology is a fundamental component that may be used to build more complex network configurations. This study would then serve as a base for future research into this area.]]>421156174982<![CDATA[Superposition Coding for Downlink Underwater Acoustic OFDM]]>4211751871936<![CDATA[Differential Orthogonal Space-Time Block Coding Modulation for Time-Variant Underwater Acoustic Channels]]>421188198914<![CDATA[Ray-Based Model for Spatial Coherence of Ocean-Surface-Generated Noise and Its Approximation in a Triplet Array]]>$d$. While existing ray-based models employ the semianalytic approach, this model is more generally formulated for the 3-D noise field with vertical and azimuthal directivity using a ray-tracing model. Moreover, we derive a Maclaurin series of the formulated spatial coherence function for the ratio of the hydrophone spacing and the acoustic wavelength $lambda $. This series explicitly reveals the feature of spatial coherence for the noise field as a function of the orientation of the hydrophone pair and the ocean environmental coefficients. At small $d/lambda $, the leading-order terms alone provide a good approximate solution for the spatial coherence function, which enables rapid computation of six coherence functions for the hydrophone triplet. Especially, for the ocean environment with weakly azimuth-dependent ocean bathymetry, the contribution from each term in the derived series is analyzed and a simpler formula for the spatial coherence function is suggested.]]>421199207775<![CDATA[A Direct Method for the Estimation of Sediment Sound Speed With a Horizontal Array in Shallow Water]]>4212082181374<![CDATA[Evaluation of Relative Entropy for Distributed Passive Detection of Weak Acoustic Signals]]>421219230911<![CDATA[Modeling Fluctuations in Depth-Integrated Acoustic Intensity Induced by Internal Waves Along a 2-D Track]]>$0.60pm 0.23$ to $0.79pm 0.06$ as the number of moorings used in the WCSSP reconstruction increased from one to four.]]>4212312411254<![CDATA[2016 List of Reviewers]]>42124224435