Low sampling rate technique based frequency-domain random demodulation for broadband digital predistortion

doi:10.1016/S1005-8885(16)60069-9

JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM ›› 2016, Vol. 23 ›› Issue (6): 47-52.doi: 10.1016/S1005-8885(16)60069-9

• Wireless • Previous Articles Next Articles

Low sampling rate technique based frequency-domain random demodulation for broadband digital predistortion

Received:2016-08-12 Revised:2016-12-24 Online:2016-12-31 Published:2016-12-30
Supported by:
National Key Basic Research Program of China (973 Program);863 Program;National Natural Science Foundation of China for the Major Equipment Development

Abstract

Abstract: This paper proposes a combination technique of the frequency-domain random demodulation (FRD) and the broadband digital predistorter (DPD). This technique can linearize the power amplifiers (PAs) at a low sampling rate in the feedback loop. Based on the theory of compressed sensing (CS), the FRD method preprocesses the original signal using the frequency domain sampling signal with different stages through multiple parallel channels. Then the FRD method is applied to the broadband DPD system to restrict the sampling process in the feedback loop. The proposed technique is assessed using a 30 W Class-F wideband PA driven by a 20 MHz orthogonal frequency division multiplexing (OFDM) signal, and a 40 W GaN Doherty PA driven by a 40 MHz 4-carrier long-term evolution (LTE) signal. The simulation and experimental results show that good linearization performance can be achieved at a lower sampling rate with about 24 dBc adjacent channel power ratio (ACPR) improvement by applying the proposed combination technique FRD-DPD. Furthermore, the performance of normalized mean square error (NMSE) and error vector magnitude (EVM) also has been much improved compared with the conventional technique.

Key words: power amplifiers, digital predistortion, CS, frequency-domain random demodulation

CLC Number:

TN830.6

References

1. Sundström L, Faulkner M, Johansson M. Quantization analysis and design of a digital predistortion linearizer for RF power amplifiers. IEEE Transactions on Vehicular Technology, 1996, 45(4): 707-719

2. Ding L, Zhou G T, Morgan D R, et al. A robust digital baseband predistorter constructed using memory polynomials. IEEE Transactions on Communications, 2004, 52(1): 159-165

3. Mishali M, Eldar Y C. From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 375-391

4. Ding L, Mujica F, Yang Z G. Digital predistortion using direct learning with reduced bandwidth feedback. Proceedings of the 2013 IEEE MTT-S International Microwave Symposium Digest (IMS’13), Jun 2-7, 2013, Washington, DC, USA. Piscataway, NJ, USA: IEEE, 2013: 3p

5. Yu C, Guan L, Zhu E N, et al. Band-limited volterra series-based digital predistortion for wideband RF power amplifiers. IEEE Transactions on Microwave Theory and Techniques, 2012, 60(12): 4198-4208

6. Yu C, Allegue-Martínez M, Guo Y, et al. Output-controllable partial inverse digital predistortion for RF power amplifiers. IEEE Transactions on Microwave Theory and Techniques, 2014, 62(11): 2499-2510

7. Ma Y, Yamao Y, Akaiwa Y, et al. Wideband digital predistortion using spectral extrapolation of band-limited feedback signal. IEEE Transactions on Circuits and Systems I: Regular Papers, 2014, 61(7): 2088-2097

8. Shi Z, Zhou J M, Li H, et al. Performance analysis for scalar digital predistortion. Proceedings of the IEEE 13th Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems (SiRF’13), Jan 21-23, 2013, Austin, TX, USA. Piscataway, NJ, USA: IEEE, 2013: 54-56

9. Candes E, Romberg J, Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 2006, 52(2): 489-509

10. Donoho D L. Compressed sensing. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306

11. Zhao Y J, Wang H J, Zhuang X Y, et al. Frequency domain sensing system using random modulation pre-integrator. IET Science, Measurement and Technology, 2013, 7(3): 166-170

12. Zhao J M, Yu C P, Yu J G, et al. A robust augmented combination of digital predistortion and crest factor reduction for RF power amplifiers. Progress in Electromagnetics Research C, 2015, 57(4): 181-191

13. Tao W, Wang H Y, Zhou C B, et al. A random demodulation based reduced sampling rate method for wideband digital predistortion. Proceedings of the 2015 Asia-Pacific Microwave Conference (APMC’15): Vol 1, Dec 6-9, 2015, Nanjing, China. Piscataway, NJ, USA: IEEE, 2015: 3p

Metrics

Comments

Copyright © 2020 The Journal of China Universities of Posts and Telecommunications
　 Adress: P.O. Box 231,Beijing University of Posts and Telecommunications,10 Xi Tucheng Road,Beijing 100876,P.R.China　Post Code: 100081
Tel：86-010-62282493　Fax： 86-010-62283461　E-mail: jchupt@bupt.edu.cn
Support by: Beijing Magtech Co.Ltd

Low sampling rate technique based frequency-domain random demodulation for broadband digital predistortion

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 0

Recommended Articles

Metrics

Comments