Mitigation of Nonlinear Spurious Products using Least Mean-Square (LMS)
University of Oklahoma Norman United States
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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.
- Operations Research
- Radiofrequency Wave Propagation