Performance Analysis of OFDM with Peak Cancellation under EVM and ACLR Restrictions

13Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents performance analysis of an adaptive peak cancellation (PC) method to reduce the high peak-to-average power ratio (PAPR) for OFDM systems, while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power below the pre-determined level. In this work, the increase of adjacent leakage power ratio (ACLR) and error vector magnitude (EVM) are estimated recursively using the detected peak amplitude. We present analytical framework for OFDM-based systems with theoretical bit error rate (BER) representations and detection of optimum peak threshold based on predefined EVM and ACLR requirements. Moreover, the optimum peak detection threshold is selected based on theoretical design to maintain the pre-defined distortion level. Thus, their degradations are restricted below the pre-defined levels which correspond to target OoB radiation. We also discuss the practical design of peak-cancellation signal with target OoB radiation and in-band distortion through optimizing the windowing size of the PC signal. Numerical results show the improvements with respect to both achievable BER and PAPR with the PC method in eigen-beam space division multiplexing (E-SDM) systems under restriction of OoB power radiation. It can also be seen that the theoretical BER shows good agreements with simulation results.

Author supplied keywords

Cite

CITATION STYLE

APA

Kageyama, T., Muta, O., & Gacanin, H. (2020). Performance Analysis of OFDM with Peak Cancellation under EVM and ACLR Restrictions. In IEEE Transactions on Vehicular Technology (Vol. 69, pp. 6230–6241). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TVT.2020.2982587

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free