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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。
Abstract：Turbo equalization extends the idea of iterative decoding in Turbo code to channel equalization,which can achieve better anti-multipath performance than traditional equalization process through iterative exchange of soft information between channel equalizer 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 channels.
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基本信息:
中图分类号:TN911.22
引用信息:
[1]邓晓平,申建平,桑会平,等.基于近似线性MMSE的频域Turbo均衡算法研究[J].无线电工程,2015,45(05):28-30+65.
基金信息:
河北省教育厅自然科学基金资助项目(QN2014071);; 河北师范大学自然科学科研基金项目计划资助项目(L2013B15)
2015-04-02
2015-04-02
2015-04-02