An Adaptive-Scaling Algorithm for OFDM PAR Reduction Using Active Constellation Extension

The active constellation extension (ACE) technique is a lossless (in terms of throughput) peak-to-average power ratio (PAR) reduction technique that adaptively extends the signal constellation while ensuring that the minimum distance between any two constellation points does not decrease. However, t...

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Bibliographic Details
Published in:IEEE Vehicular Technology Conference pp. 1 - 5
Main Authors: Luqing Wang, Tellambura, C.
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2006
Subjects:
Bit error rate
Constellation diagram
Filtering algorithms
Noise reduction
OFDM
Partial transmit sequences
Peak to average power ratio
Personal communication networks
Signal representations
Throughput
ISBN:9781424400621, 1424400627
ISSN:1090-3038
Online Access:Get full text
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Summary:The active constellation extension (ACE) technique is a lossless (in terms of throughput) peak-to-average power ratio (PAR) reduction technique that adaptively extends the signal constellation while ensuring that the minimum distance between any two constellation points does not decrease. However, this technique increases the average transmit power. In this paper, we propose an adaptive-scaling algorithm for the implementation of ACE. This algorithm, based on the clipping and filtering technique, uses only the peak samples of clipping noise to reduce PAR. Simulation results show that the proposed algorithm has better PAR reduction, lower complexity and smaller BER than the previously proposed Smart Gradient-Project ACE algorithm.
ISBN:9781424400621
1424400627
ISSN:1090-3038
DOI:10.1109/VTCF.2006.348