Accession Number:

AD1052615

Title:

Mitigation of Nonlinear Spurious Products using Least Mean-Square (LMS)

Descriptive Note:

Conference Paper

Corporate Author:

University of Oklahoma Norman United States

Personal Author(s):

Report Date:

2018-03-12

Pagination or Media Count:

6.0

Abstract:

This paper analyzes the performance of an iterative solution for the nonlinear correction of a digital array receiver channel. The iterative least mean-square LMS algorithm is compared to weighted least-squares WLS and its ability to adapt to changes in system temperature, and therefore nonlinear characteristics, is shown. Lastly, a digital array is simulated with nonlinear channels that represent a real system. The resulting intermodulation distortion IMD is then mitigated using theLMS correction method.

Subject Categories:

  • Operations Research
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE