Turbo 均衡将 Turbo 码的迭代译码思想扩展到信道均衡领域，通过迭代的方式在信道均衡器和解码器之间进行数次软信息交互，从而能够达到比传统均衡处理更优的抗多径干扰性能。针对 Turbo 均衡在实际应用中的复杂度过高的问题，给出了一种基于近似线性 MMSE 的频域 Turbo 均衡算法。该算法通过快速傅里叶变换将基于 MMSE 准则信道均衡处理转换到频域进行，从而避免了复杂的矩阵求逆运算。仿真结果表明，相对于时域的近似线性 Turbo 均衡算法，该算法在时不变多径信道下能够以相对较低的复杂度实现更好的抗多径干扰性能。%Turbo equalization extends the idea of iterative decoding in Turbo code to channel equalization,which can achieve bet⁃ter anti⁃multipath performance than traditional equalization process through iterative exchange of soft information between channel equal⁃izer and decoder. To overcome the high complexity of Turbo equalization in practice, a Turbo equalization algorithm based on approximate linear MMSE is introduced. This algorithm avoids highly complicated matrix inversion process by transforming channel equalization based on MMSE criterion to frequency domain using FFT.The results of simulation indicate that,as compared with linear Turbo equalization,this algorithm can achieve better anti⁃multipath performance with lower complexity in time⁃invariant multipath chan⁃nels.
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