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PAPR Reduction with Pre-chirp Selection for Affine Frequency Division Multiplexing

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arxiv 2406.14064 v4 pith:3JMG5WFW submitted 2024-06-20 cs.IT eess.SPmath.IT

PAPR Reduction with Pre-chirp Selection for Affine Frequency Division Multiplexing

classification cs.IT eess.SPmath.IT
keywords paprafdmperformanceaffinedaftfrequencypre-chirpalgorithm
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Affine frequency division multiplexing (AFDM) is a promising new multicarrier technique for high-mobility communications based on discrete affine Fourier transform (DAFT). By properly tuning two parameters in the DAFT module, the effective channel in the DAFT domain can completely circumvent path overlap, thereby constituting a full representation of delay-Doppler profile. However, AFDM has a crucial problem of high peak-to-average power ratio (PAPR), stemming from randomness of modulated symbols. To reduce the PAPR of AFDM, a novel algorithm named grouped pre-chirp selection (GPS) is proposed in this letter. The GPS varying the pre-chirp parameter across subcarrier groups in a non-enumerated manner and then selects the signal with the smallest PAPR among all candidate signals. We detail the operational procedures of the GPS algorithm, analyzing GPS from four aspects: PAPR performance, computational complexity, spectral efficiency, and bit error rate (BER) performance. Simulations indicate the effectiveness of the proposed GPS in reducing PAPR. At the cost of slight communication performance, AFDM with GPS can achieve better PAPR performance than orthogonal time frequency space (OTFS) while maintaining a lower modulation complexity.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Low-Complexity Tone Injection via Candidate Ranking for PAPR Reduction in OFDM and AFDM Systems

    eess.SP 2026-04 unverdicted novelty 5.0

    New candidate-ranking tone injection algorithms for OFDM and AFDM deliver more than 1 dB PAPR gain over baselines at FFT-comparable complexity.