短波通信多组空时编码中等效MIMO模型ZF解码

面向短波通信提出了多组空时编码( MGSTC )的一种等效多输入多输出( MIMO )模型迫零( ZF)解码算法。该算法以降低运算复杂度为目的，将原多时隙MIMO系统拆分为多个多时隙单输入多输出( SIMO)系统并分别等效为多个新的单时隙MIMO系统模型，通过各自左乘等效信道矩阵的共轭转置后进行最大比合并( MRC)以及ZF解码获得发送信号估计值，避免了球形解码( SD)中对高阶矩阵的QR分解。仿真结果表明，与虚拟MIMO模型SD解码算法相比，等效MIMO模型ZF解码算法在误码率( BER)性能1 dB损耗的情况下，运算量降低一个数量级以上。

Effective MIMO model zero-forcing decoding for multi-group space-time coding in HF communications

This paper proposes an effective multiple-input multiple-output( MIMO) model zero-forcing( ZF) decoding algorithm for multi-group space-time coding( MGSTC) in high frequency( HF) communications. To reduce the computation complexity,the algorithm divides the original multiple-time-slot MIMO system into some multiple time slot single-input multiple-output( SIMO) systems each of which is equivalent to new sin-gle-time-slot MIMO system model. After left multiplying transpose of effective channel matrix separately, maximal ratio combine( MRC) and ZF decoding are performed to obtain signal estimation,thus avoiding high-order matrix QR decomposition in sphere decoding(SD). The simulation results show that compared with virtual MIMO model SD decoding algorithm,the effective MIMO model ZF decoding has lower than one order of magnitude in computation complexity with 1 dB loss in bit error rate( BER) performance.