Training Sequence-aided QRM-ML Block Signal Detection for Single-carrier MIMO Multiplexing

نویسندگان

  • Tetsuya YAMAMOTO
  • Kazuki TAKEDA
  • Fumiyuki ADACHI
چکیده

あらまし QR 分解と M アルゴリズムを利用した演算量削減型最尤ブロック信号検出(QRM-MLBD)は,最小平均 二乗誤差(MMSE)規範に基づく空間フィルタリングに比べてサイクリックプリフィックス(CP)を用いるシングルキ ャリア(SC)マルチ送受信アンテナ(MIMO)多重伝送のパケット誤り率(PER)特性を大幅に改善できる.しかしながら, 十分な特性改善効果を得るためには,M アルゴリズムにおける生き残りパス数 M の値を非常に大きくする必要があ り,その結果,演算量が膨大となる.一方,M の値を小さくすると,M アルゴリズムの初期ステージで正しいパス を削除してしまう確率が増加するため,PER 特性が劣化する.本報告では,この問題を解決できる手法として,既 知系列を利用した SC-MIMO 多重 (TA-SC MIMO 多重)を用い,その既知系列を利用した QRM-MLBD を提案する. 計算機シミュレーションにより, 16QAM を用いる 4×4MIMO 多重の場合,QRM-MLBD を用いる TA-SC MIMO 多 重は,M=16 程度で M=1024 とした従来の QRM-MLBD を用いる CP-SC MIMO 多重と同等の PER 特性を達成できる

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تاریخ انتشار 2010