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.
Descriptors:
Subject Categories:
- Operations Research
- Radiofrequency Wave Propagation