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Abstract
LDPC(low-density paritv-check)符号の復号に用いられるsum-productアルゴリズムは,AWGN通信路などの記憶のない通信路に対して提案されているため,周波数選択性フェージング通信路などの記憶のある通信路に直接応用することはできない.記憶のある通信路にLDPC符号を適用するためには,通信路の尤度情報を適切に変更する必要がある.周波数選択性フェージング通信路では,MAP(Maximum a posteriori probability)等化器により通信路の尤度情報を計算することができる.しかし,MAP等化器は軟判定値を出力するために処理量が大きいという難点がある.そこで本研究では,周波数選択性フェージング通信路へLDPC符号を適用するために,MAP等化器より処理量の少ないMLSE(Maximum likelihood sequence estimation)等の等化器を利用する方法を提案する.提案方式では,LDPC符号の復号に必要となる通信路の尤度情報を復号結果と受信信号を用いて推定する.さらに,推定した尤度情報を復号の繰り返しとともに更新していくことで性能を改善することができる.計算機シミュレーションの結果,提案方式は少ない処理量でMAP等化器を用いた方式と同等の性能を達成できることを確認した.
Sum-product algorithm for decoding of low-density parity-check (LDPC) codes cannot directly be applied to channels with memory e.g. frequency selective fading channels, because the algorithm is proposed for memoryless channels such as AWGN channel. In order to apply LDPC codes to channels with memory, it is necessary to calculate likelihood information of the channels adequately. In frequency selective fading channels, MAP (Maximum a posteriori probability) equalizer can calculate the likelihood information. However, MAP equalizer requires large complexity to calculate soft decision value. In this paper, to apply LDPC codes to frequency selective fading channels, we propose a receiver using an equalizer like MLSE (Maximum likelihood sequence estimation) which has less complexity than MAP equalizer. In the proposed receiver, the likelihood information of the channel is estimated by the use of the decoded sequence and received signals, and is updated at each decoding iteration to improve the decoding performance. The simulation results show that the proposed receiver achieves nearly the same performance as a receiver using MAP equalizer although the computational complexity of the proposed receiver is greatly reduced.
Journal
- IEICE technical report [List of Volumes]
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IEICE technical report 102(679), 167-171, 2003-02-28 [Table of Contents]
The Institute of Electronics, Information and Communication Engineers
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