Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture | IEEE Conference Publication | IEEE Xplore

Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture


Abstract:

We propose to identify the coefficients of a digital pre-distortion equalizer based on direct learning architecture (DLA) using the Gauss-Newton method. Experimental resu...Show More

Abstract:

We propose to identify the coefficients of a digital pre-distortion equalizer based on direct learning architecture (DLA) using the Gauss-Newton method. Experimental results show that DLA outperforms indirect learning architecture by 0.5dB.
Date of Conference: 05-09 March 2023
Date Added to IEEE Xplore: 19 May 2023
Print on Demand(PoD) ISBN:979-8-3503-1229-4
Conference Location: San Diego, CA, USA

References

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