Advertisement

Machine Interpretation of Radar Displays

  • A. J. CoteJr.

Abstract

The development of radar systems is being hampered by a continually increasing conflict between complexity, reliability, size, and cost on one hand, and more sophisticated performance requirements on the other hand. Yet many of the data-processing operations which must be carried out by these man-made systems are also carried out by the living biological systems found throughout the natural world. These living systems operate reliably with unreliable components; they are self-adjusting; and they are capable of altering their operation to cope with unforeseen conditions. Thus, it is not surprising that man is beginning to look more closely at nature for possible solutions to his data-processing problems. A portion of the initial activity in this effort is reported in this volume and in previous publications (Yovitts and Cameron, 1960; Bionics Symposium, 1960), and this paper discuss some aspects of an attempt to apply such a design philosophy to the development of a specific radar subsystem.

Keywords

False Alarm Unit Output Circular Array Unreliable Component Radar Observer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bionics Symposium. 1960. Wright Air Development Div., WADD Tech. Rep. 60–600.Google Scholar
  2. Cote, A. J., Jr. 1961. A neuristor prototype. Proc. IRE 49, 1430–1431.Google Scholar
  3. Crane, H.D. 1960. Neuristor studies. Stanford Electronics Lab., Tech. Rep. 1506 - 2.Google Scholar
  4. Lettvin, J.Y., Maturana, H.R., McCullough, W.S., and Pitts, W.H. 1959. What the frog’s eye tells the frog’s brain. Proc. IRE 47, 1940–1951.CrossRefGoogle Scholar
  5. McCullough et al. 1959. Optic nerve. MIT Research Laboratory of Electronics, QPR 52, 176–178.Google Scholar
  6. Neisser, U. 1960. A theory of cognitive processes. Lincoln Laboratory, Group Report, 54–19.Google Scholar
  7. Nicholsen, J. F. 1959. Permachon—a storage pickup tube. Electron Devices Conference, Washington, D. C.Google Scholar
  8. Selfridge, O. G. 1959. Pandemonium: a paradigm for learning. Proceedings Symposium on Mechanization of Thought Processes. Her Majesty’s Stationary Office, London.Google Scholar
  9. Taylor, W. K. 1956. Pattern recognition by means of automatic analog apparatus. Proc. IEE (Part B) 106, 198–209.Google Scholar
  10. Tinbergen, N. 1951. The study of instinct. Oxford Univ. Press.Google Scholar
  11. Yovitts, M. C., and Cameron, S. (ed. ). 1960. Self-organizing systems. Pergamon Press.Google Scholar

Copyright information

© Plenum Press, Inc. 1962

Authors and Affiliations

  • A. J. CoteJr.
    • 1
  1. 1.Applied Physics LaboratoryThe Johns Hopkins UniversitySilver SpringUSA

Personalised recommendations