Performance Analysis of OFDM with Peak Cancellation Under EVM and ACLR Restrictions
Tomoya Kageyama, Osamu Muta, Haris Gacanin

TL;DR
This paper analyzes an adaptive peak cancellation method for OFDM systems that reduces PAPR and controls out-of-band radiation and in-band distortion, providing analytical and numerical results that optimize system performance under specified restrictions.
Contribution
It introduces an analytical framework for peak detection and cancellation in OFDM, optimizing thresholds based on EVM and ACLR constraints to improve BER and PAPR performance.
Findings
Peak cancellation effectively reduces PAPR and out-of-band radiation.
Theoretical BER closely matches simulation results.
Optimized windowing improves practical peak-cancellation design.
Abstract
This paper presents performance analysis of an adaptive peak cancellation method to reduce the high peak-toaverage 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 the oretical design to maintain the predefined distortion level. Thus, their degradations are automatically restricted below the pre-defined levels which correspond to target OoB radiation. We also…
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Taxonomy
Methodspc
