A Novel Approach for Enhancing 5G NR PSS Detection with Non-Matched Filter

This paper proposes a novel approach to enhance the detection of Primary Synchronization Signal (PSS) sequences in 5G New Radio (NR) systems. The current 5G NR PSS sequences have suboptimal correlation properties, comparable only to random-phase sequences. To address this limitation without modifying existing network infrastructure or mobile devices, we introduce a new detector design that supplements the deficiencies of the current PSS sequences. Our approach involves using a non-matched filter with assistive sequences. We formulate the problem as an optimization problem with linear constraints, and discuss ongoing work as well as activities planned for future research.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827761
Primary Topic
PAPR reduction in OFDM
Type
article
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A Novel Approach for Enhancing 5G NR PSS Detection with Non-Matched Filter

Jin Kyeong Kim, Chanho Yoon, Byung-Jae Kwak, Young Jo Ko et al.
PAPR reduction in OFDM
article

A Novel Approach for Enhancing 5G NR PSS Detection with Non-Matched Filter

Jin Kyeong Kim, Chanho Yoon, Byung-Jae Kwak, Young Jo Ko, Jung Ho Myung
article en

Abstract

This paper proposes a novel approach to enhance the detection of Primary Synchronization Signal (PSS) sequences in 5G New Radio (NR) systems. The current 5G NR PSS sequences have suboptimal correlation properties, comparable only to random-phase sequences. To address this limitation without modifying existing network infrastructure or mobile devices, we introduce a new detector design that supplements the deficiencies of the current PSS sequences. Our approach involves using a non-matched filter with assistive sequences. We formulate the problem as an optimization problem with linear constraints, and discuss ongoing work as well as activities planned for future research.

Electronics and Telecommunications Research Institute (KR)
Openalex Percentile: Top 76%
PAPR reduction in OFDM
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