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Institution

Defence Science and Technology Organisation

NonprofitCanberra, Australian Capital Territory, Australia
About: Defence Science and Technology Organisation is a nonprofit organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Radar & Clutter. The organization has 2465 authors who have published 3856 publications receiving 90614 citations.
Topics: Radar, Clutter, Laser, Paris' law, Bistatic radar


Papers
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Journal ArticleDOI
TL;DR: It is found that humpback whales gradually switched from primarily vocal to primarily surface-generated communication in increasing wind speeds and background noise levels, though kept both signal types in their repertoire.
Abstract: High background noise is an important obstacle in successful signal detection and perception of an intended acoustic signal. To overcome this problem, many animals modify their acoustic signal by increasing the repetition rate, duration, amplitude or frequency range of the signal. An alternative method to ensure successful signal reception, yet to be tested in animals, involves the use of two different types of signal, where one signal type may enhance the other in periods of high background noise. Humpback whale communication signals comprise two different types: vocal signals, and surface-generated signals such as ‘breaching’ or ‘pectoral slapping’. We found that humpback whales gradually switched from primarily vocal to primarily surface-generated communication in increasing wind speeds and background noise levels, though kept both signal types in their repertoire. Vocal signals have the advantage of having higher information content but may have the disadvantage of loosing this information in a noisy environment. Surface-generated sounds have energy distributed over a greater frequency range and may be less likely to become confused in periods of high wind-generated noise but have less information content when compared with vocal sounds. Therefore, surface-generated sounds may improve detection or enhance the perception of vocal signals in a noisy environment.

77 citations

Book ChapterDOI
01 Jan 2011
TL;DR: In this article, basic aspects of stress-corrosion cracking (SCC) in metallic materials are outlined, followed by a summary of the numerous mechanisms that have been proposed for SCC.
Abstract: Basic aspects of stress-corrosion cracking (SCC) in metallic materials are outlined, followed by a summary of the numerous mechanisms that have been proposed for SCC. The characteristics of transgranular and intergranular SCC in model systems, e.g. pure metal and single-phase alloy single crystals and bi-crystals under testing conditions that facilitate discrimination between mechanisms, are then described. The applicability of the various proposed mechanisms, such as those based on dissolution, hydrogen embrittlement, film-induced cleavage, and adsorption, are discussed in detail for these systems. Mechanisms of SCC in complex commercial alloys are then considered in the light of these studies on model systems.

77 citations

Journal ArticleDOI
TL;DR: In this article, the static strength and fatigue resistance of mechanically fastened, bonded and hybrid double lap joints using relatively thin carbon fiber adherends have been experimentally investigated, and the results showed that the fatigue resilience of a hybrid joint is superior to that of a bonded joint, particularly in the case where defects are present in the adhesive bondline.

77 citations

Journal ArticleDOI
TL;DR: A robust adaptive beamformer is proposed that effectively suppresses spatially nonstationary interference without degrading subclutter visibility after Doppler processing.
Abstract: Adaptive beamforming is used to enhance the detection of target echoes received by high frequency (HF) surface wave (HFSW) over-the-horizon (OTH) radars in the presence of spatially structured interference. External interference from natural and man-made sources typically masks the entire range-Doppler search space and is characterized by a spatial covariance matrix that is time-varying or nonstationary over the coherent processing interval (CPI). Adaptive beamformers that update the spatial filtering weight vector within the CPI are likely to suppress such interference most effectively, but the intra-CPI antenna pattern fluctuations result in temporal decorrelation of the clutter which severely degrades subclutter visibility after Doppler processing. A robust adaptive beamformer that effectively suppresses spatially nonstationary interference without degrading subclutter visibility is proposed here. The proposed algorithm is computationally efficient and suitable for practical implementation. Its operational performance is evaluated using experimental data recorded by the Iluka HFSW OTH radar, located near Darwin in far north Australia.

77 citations

Journal ArticleDOI
TL;DR: The general framework for optimal Bayesian estimation of target state and class is formulates, conceptually based on a static multiple-class filter that can be aggregated into a single IMM filter when applied to linear/Gaussian estimation using acceleration limits.

77 citations


Authors

Showing all 2476 results

NameH-indexPapersCitations
Peng Shi137137165195
Wayne Hu9830833371
Johan A. Martens8872028126
Maria Forsyth8474933340
Patrick M. Sexton7535021559
Xungai Wang6867519654
Michael D. Lee6528816437
Tanya M. Monro6556815880
Jan E. Leach6422213086
Raymond C. Boston6345415839
Adrian P. Mouritz6128414191
Christine E. A. Kirschhock522319225
Robin J. Evans5255114169
Chun H. Wang513318300
Branko Ristic4825310982
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202213
20213
20203
201912
201814