On the application of the LMS-based adaptive noise canceller in nonstationary environment associated with airborne Doppler weather radar

  • Authors:

  • Y.-C. Lai;E. G. Baxa, Jr.

  • Affiliations:

  • Radar Systems Laboratory, Department of Electrical and Computer Engineering, Clemson University, Clemson, SC;Radar Systems Laboratory, Department of Electrical and Computer Engineering, Clemson University, Clemson, SC

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
  • Year:
  • 1993

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Abstract

Filtering nonstationary signals is a major area of application for adaptive systems. This paper investigates use of the LMS based adaptive noise canceller as a process decorrelator In a nonstationary signal and noise environment. In an airborne Doppler weather radar application, ground clutter and weather returns are treated as two uncorrelated nonstationary processes, and under severely low signal-to-clutter ratio (SCR) situations, it is shown that the adaptive noise canceller exhibits performances superior to that of a fixed, nonadaptive system in terms of ground clutter suppression and estimates of weather parameters.