Investigating temporal implications of information transition in submarine command teams

Previous work revealed bottlenecks in information transition between submarine command team members, which may be detrimental to overall performance. To date, the potential impact of such bottlenecks in terms of time to pass critical information has not been investigated. An understanding of the temporal impact is critical, given the time critical nature of tactical picture generation. Four teams of eight participants (32 participants total) were recruited and trained at one of the operator stations in a bespoke built submarine control room simulator. Participants completed high and low demand Return to Periscope Depth scenarios. The timings of technology-human and human-human interactions were calculated. Preliminary results indicated that the largest temporal lag was the transition of human-human information. Furthermore, loss of information occurred with every stage of information transition. As demand increased, the efficiency of information transition was negatively impacted by increased communications between operators. Initial results are discussed along with future analysis plans.</p

Tidal effects on MFP via the INTIMATE'96 test

Examining Intimate96 field data we see clearly the effects of tidal changes, i.e., of changing water depths for a bottom-tethered vertical array at mid-frequencies (300 to8 00 Hz). This work will examine the sensitivity of such data via Matched Field Processing (MFP) to tidal changes where the depth varies 1.0m from the nominal of 135 m. Is it possible to invert such data to estimate water depth as a function of time (tides)? Are the data dominated by source range estimates where water depths are known to shift in a predictable fashion as a function of source range errors? Results reported here will be for simulated data

Simulation of Matched Field Processing Localization Based on Empirical Mode Decomposition and Karhunen-Lo&#232;ve Expansion in Underwater Waveguide Environment

Mismatch problem has been one of important issues of matched field processing for underwater source detection. Experimental use of MFP has shown that robust range and depth localization is difficult to achieve. In many cases this is due to uncertainty in the environmental inputs required by acoustic propagation models. The paper presents that EMD (Empirical mode decomposition) processing underwater acoustic signals is motivated because it is well suited for removing specific unwanted signal components that may vary spectrally. And the Karhunen-Lo&#232;ve expansion is applied on sample covariance matrix to gain a relatively uncorrupted signal. The EMD denoising scheme is combined with Karhunen-Lo&#232;ve expansion to improve underwater target localization performance of matched field processing (MFP). The robustness and effectiveness of the proposed method is tested by the benchmark cases numerical simulation when there had large environmental parameter uncertainties of the acoustic waveguide