Resource utilization optimized design method for matched filter of pss searcher

Dohyun Kim, Taeyang Jeong, Eui Young Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In LTE(Long-Term Evolution) system, UE(User Equipment) performs synchronization processing with a specific cell to communicate. In that processing, the UE uses a matched filter to filter PSS(Primary Synchronization Signal) from downlink signals sent from the cell. There are various ways to design such a matched filter. In the most native design of the matched filter, the number of multipliers is required as much as a number of the taps which means filter length. If resources are limited, that is a very inefficient design approach. Therefore, we proposed filter design method to significantly reduce the number of multipliers in the matched filter by utilizing the difference of between sampling rate and operating clock frequency. When using FPGA resources for designing the filter, The filter design method proposed in this paper reduced the LUT(look-up table) utilization by 55.2% to 6.22%, the FF(flip-flop) utilization decreased by 24.95% to 4.44%, and the BRAM utilization decreased by 42.65% to 13.05% than the Natively design method.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference, ISOCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-291
Number of pages2
ISBN (Electronic)9781728183312
DOIs
Publication statusPublished - 2020 Oct 21
Event17th International System-on-Chip Design Conference, ISOCC 2020 - Yeosu, Korea, Republic of
Duration: 2020 Oct 212020 Oct 24

Publication series

NameProceedings - International SoC Design Conference, ISOCC 2020

Conference

Conference17th International System-on-Chip Design Conference, ISOCC 2020
Country/TerritoryKorea, Republic of
CityYeosu
Period20/10/2120/10/24

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by R&D program for advanced integrated-intelligence for identification through the National Research Foundation of Korea(NRF) funded by Ministry of Trade, Industry and Energy (2018M3E3A1057248), And the chip fabrication and EDA Tool were supported by the IC Design Education Center.

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Hardware and Architecture

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