Constellation-Based Detection for Frequency Spread OFDM Underlay

In this paper, we present a novel constellation-based detection algorithm designed to identify frequency spread OFDM underlay signals in dynamic and complex wireless environments. Our algorithm leverages the distinct patterns introduced by underlay signals in the constellation diagram to achieve effective detection. We conduct comprehensive simulations to evaluate the detection performance. Additionally, we compare the proposed algorithm with the traditional energy detection method. Our simulation results demonstrate that the constellation-based algorithm provides superior robustness and accuracy, particularly in scenarios with high Doppler shifts and varying transmission power levels. This work highlights the algorithm’s potential for enhancing underlay signal detection in modern wireless communication systems.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/milcom61039.2024.10773803
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.00

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Constellation-Based Detection for Frequency Spread OFDM Underlay

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PAPR reduction in OFDM
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Constellation-Based Detection for Frequency Spread OFDM Underlay

Daniel J. Jakubisin, Jeffrey H. Reed, Xiang Cheng, Hanchao Yang, Nishith Tripathi, Gustave Anderson, Kumar Sai Bondada, Yaling Yang
article en

Abstract

In this paper, we present a novel constellation-based detection algorithm designed to identify frequency spread OFDM underlay signals in dynamic and complex wireless environments. Our algorithm leverages the distinct patterns introduced by underlay signals in the constellation diagram to achieve effective detection. We conduct comprehensive simulations to evaluate the detection performance. Additionally, we compare the proposed algorithm with the traditional energy detection method. Our simulation results demonstrate that the constellation-based algorithm provides superior robustness and accuracy, particularly in scenarios with high Doppler shifts and varying transmission power levels. This work highlights the algorithm’s potential for enhancing underlay signal detection in modern wireless communication systems.

Lockheed Martin (United States) (US), Virginia Tech (US)
Lockheed Martin
Openalex Percentile: Top 80%
PAPR reduction in OFDM
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