Low PAPR OFDM Using SLM with Modified Riemann Matrix in JARC Systems

Orthogonal Frequency Division Multiplexing (OFDM) is a promising technology for joint automotive radar and communication (JARC) systems operating in the 77-81 GHz band. While the Selective Mapping (SLM) technique effectively reduces the Peak-to-Average Power Ratio (PAPR) through phase sequence selec...

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Bibliographic Details
Published in2024 IEEE International Workshop on Metrology for Automotive (MetroAutomotive) pp. 35 - 40
Main Authors Aydogan, Didem, Tatkeu, Charles, El Hillali, Yassin
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.06.2024
Subjects
computational complexity
Data communication
Estimation
JARC
Metrology
Mirrors
OFDM
PAPR
Peak to average power ratio
PTS
Radar detection
Riemann Matrix
Simulation
SLM
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Summary:Orthogonal Frequency Division Multiplexing (OFDM) is a promising technology for joint automotive radar and communication (JARC) systems operating in the 77-81 GHz band. While the Selective Mapping (SLM) technique effectively reduces the Peak-to-Average Power Ratio (PAPR) through phase sequence selection, this process traditionally requires significant computational resources, which can decrease data transmission rates. This paper introduces a novel approach that leverages a modified Riemann matrix to reduce PAPR with minimal increase in computational complexity within an OFDM radar framework. We analyze range-velocity profiles under various SNR conditions in an AWGN (Additive White Gaussian Noise) channel. The proposed method not only achieves a substantial 92.1% reduction in PAPR compared to conventional OFDM but also simplifies the computational process to mere elementwise multiplication, ensuring high fidelity in radar range-velocity estimation.
DOI:10.1109/MetroAutomotive61329.2024.10615367