Joint BER Optimization and Blind PAPR Reduction of OFDM Systems With Signal Space Diversity | Zendy

Tarak Arbi | Zendy; Benoît Geller | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Joint BER Optimization and Blind PAPR Reduction of OFDM Systems With Signal Space Diversity

Author(s) -

Tarak Arbi,

Benoît Geller

Publication year - 2019

Publication title -

ieee communications letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.929

H-Index - 148

eISSN - 1558-2558

pISSN - 1089-7798

DOI - 10.1109/lcomm.2019.2931898

Subject(s) - orthogonal frequency division multiplexing , reduction (mathematics) , bit error rate , joint (building) , computer science , signal (programming language) , algorithm , qam , selection (genetic algorithm) , antenna diversity , power (physics) , constellation , electronic engineering , telecommunications , mathematics , quadrature amplitude modulation , wireless , engineering , channel (broadcasting) , artificial intelligence , decoding methods , physics , geometry , astronomy , quantum mechanics , architectural engineering , programming language

This letter deals with a peak-to-average power ratio (PAPR) reduction scheme for orthogonal frequency division multiplexing (OFDM) systems with signal space diversity. An original algorithm for the selection of two rotated and cyclically Q-delayed (RCQD) QAM constellations is proposed to jointly optimize the bit error rate (BER) and the blind detection performance of a selected mapping (SLM) technique. Simulation results show that the proposed method achieves a large PAPR reduction with no spectral spoilage and also enhances the BER performance in the case of DVB-T2 over different channels.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research