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Development and Performance Analysis of Channel Estimation Schemes Using Decoding Information for WAVE System

WAVE 시스템에서 디코딩 정보를 이용한 채널 추정 기법 개발 및 성능 분석

  • 김민찬 (한국교통대학교 제어계측공학과) ;
  • 박초은 (한국교통대학교 정보기술융합학과) ;
  • 고균병 (한국교통대학교 전기전자로봇통신공학과)
  • Received : 2017.08.24
  • Accepted : 2017.11.11
  • Published : 2017.11.30

Abstract

In this paper, we propose a novel channel estimation scheme using decoding information for IEEE 802.11p/WAVE(Wireless Access for Vehicular Environments) over V2V(Vehicle-to-Vehicle) environments. In the proposed scheme, using decoding information, we reconstruct data pilots and then, they are used for the conventional channel estimation schemes (i.e., STA(Spectral Temporal Averaging), CDP(Construct Data Pilot), TRFI(Time domain Reliable test Frequency domain Interpolation), and MMSE(Minimum Mean Square Error)) to obtain performance improvement. The proposed scheme is a multistage method in which the conventional schemes can be used at initial stage and then, a VDA(Viterbi Decision Aided) channel estimation method is applied in next stage. Finally, MMSE estimator with VDA is applied. The performance of the proposed scheme is verified by simulation based on expressway channel model.

본 논문에서는 디코딩(Decoding) 정보를 사용하는 새로운 채널 추정 기법을 IEEE 802.11p/WAVE(Wireless Access for Vehicular Environments) V2V 환경에서 제안하고 그 성능을 검증한다. 제안된 기법에서는 디코딩 정보로 데이터 파일럿을 재구성하고 이를 STA(Spectral Temporal Averaging), CDP(Construct Data Pilot), TRFI(Time domain Reliable test Frequency domain Interpolation) 및 MMSE(Minimum Mean Square Error)의 기존 채널 추정 기법에 적용하여 성능 향상을 얻도록 한다. 제안된 기법은 반복적으로 수행될 수 있으며, 초기에 기존 채널 추정 기법을 적용한 다음 디코딩 정보를 이용한 채널 추정 방법을 적용하고 마지막으로 디코딩 정보를 이용한 MMSE 기법을 적용하도록 한다. 그리고 제안된 기법의 성능을 고속도로 환경에서의 모의실험을 통하여 검증한다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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