Dowling, David R. Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.
- Basic features
- Links to Primary Literature
- Additional Readings
A set of related signal processing techniques for remote sensing that involve matching measured signals obtained from an array of sensors to synthesized signals obtained from signal propagation simulations conducted in a model of the actual environment. Here the signals are typically acoustic or electromagnetic waves, but they may be water waves, seismic waves, structural waves, or any other measurable phenomenon that travels in a predictable manner from its source to a distant receiver. Matched-field processing is the extension of elementary sensor-array signal processing techniques for line-of-sight signal propagation in uniform unbounded environments to complicated, but predictable, signal propagation in nonuniform bounded environments. Matched-field processing is superior to these elementary techniques because it can explicitly account for reflection, refraction, and scattering of the signal as it propagates from its source to the sensors. However, this superior performance is possible only when the signal propagation simulations are accurate and the model environment matches the environment in which the signal propagation took place. See also: Acoustic signal processing; Signal processing; Simulation; Wave motion
The content above is only an excerpt.
for your institution. Subscribe
To learn more about subscribing to AccessScience, or to request a no-risk trial of this award-winning scientific reference for your institution, fill in your information and a member of our Sales Team will contact you as soon as possible.
to your librarian. Recommend
Let your librarian know about the award-winning gateway to the most trustworthy and accurate scientific information.
AccessScience provides the most accurate and trustworthy scientific information available.
Recognized as an award-winning gateway to scientific knowledge, AccessScience is an amazing online resource that contains high-quality reference material written specifically for students. Its dedicated editorial team is led by Sagan Award winner John Rennie. Contributors include more than 9000 highly qualified scientists and 39 Nobel Prize winners.
MORE THAN 8500 articles and Research Reviews covering all major scientific disciplines and encompassing the McGraw-Hill Encyclopedia of Science & Technology and McGraw-Hill Yearbook of Science & Technology
115,000-PLUS definitions from the McGraw-Hill Dictionary of Scientific and Technical Terms
3000 biographies of notable scientific figures
MORE THAN 17,000 downloadable images and animations illustrating key topics
ENGAGING VIDEOS highlighting the life and work of award-winning scientists
SUGGESTIONS FOR FURTHER STUDY and additional readings to guide students to deeper understanding and research
LINKS TO CITABLE LITERATURE help students expand their knowledge using primary sources of information