Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Design of Low-Complexity FSM based on Viterbi for Optimum Bluetooth GFSK Signal Receiver

최적의 Bluetooth GFSK 신호 수신을 위한 Viterbi 기반 저복잡도 FSM 설계

  • Kwon, Taek-Won (Department of Convergence Information Technology, Konyang University) ;
  • Lee, Kyu-Man (Department of Enterprise Software, Konyang University)
  • 권택원 (건양대학교 융합IT학과) ;
  • 이규만 (건양대학교 기업소프트웨어학부)
  • Received : 2021.11.26
  • Accepted : 2022.01.20
  • Published : 2022.01.28
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Abstract

Bluetooth is a common wireless technology that is widely used as a connection medium between various consumer electronic devices. The Bluetooth receiver usually adopts a Viterbi algorithm to improve signal-to-noise ratio performance, but requires complex hardware and calculations for continuous search and estimation for the irrational modulation indexes at the transmission. This paper proposes a non-coherent maximum estimation based 8-State Viterbi FSM to solve these complexity problems. The proposed optimal Viterbi FSM can detect Gaussian frequency-shfit keying symbol without any prior information and estimation for the modulation indexes. The HV1/HV2 packets are used for the estimation of the proposed algorithm and the simulation results have shown performance improvements with about 2dB for 10-3 BER compared to other ideal approaches such as decision direct method.

Bluetooth는 다양한 소비자 전자 장치 간의 연결 매체로 널리 사용되는 공통 무선 기술이다. Bluetooth 수신기는 주로 신호 대 잡음비 성능 개선을 위해 일반적으로 Viterbi 알고리즘을 채택하지만 전송단에서의 irrational modulation index(무리수 변조 지수)로 수신단의 지속적인 탐색 및 추정이 필요하며 이를 위한 복잡한 하드웨어와 계산을 요구한다. 본 논문에서는 이러한 복잡도 문제를 해결하기 위해 비동기 최대 우도 추정(MLE, Maximum-likelihood Estimation) 기반 8-state Viterbi FSM을 제안한다. 본 논문에서 제안한 최적의 Viterbi FSM은 전송단에서의 변조 지수에 대한 사전 정보 및 추정이 필요 없으며 GFSK(Gaussian Frequency Shift Keying) 심볼 검출이 가능하다. 제안한 알고리즘에 대한 성능은 HV1/HV2 패킷을 사용하여 평가하였으며, 시뮬레이션 결과는 DD(Decision Direct)와 같은 이상적인 접근 방식과 비교하여 10-3 BER에서 약 2dB 성능 향상을 보여주었다.

Keywords

Acknowledgement

This paper was supported by Konyang University Research Fund in the second half of 2020.

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