常模盲均衡算法：消除常相位偏移和多普勒频移引起的相位模糊

王欣; 酆广增; 孔媛媛

doi:10.3724/SP.J.1146.2006.01403

常模盲均衡算法：消除常相位偏移和多普勒频移引起的相位模糊

doi: 10.3724/SP.J.1146.2006.01403

基金项目:

江苏省研究生创新计划(CX07B-1062)资助课题

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出版历程
- 收稿日期: 2006-09-18
- 修回日期: 2007-03-19
- 刊出日期: 2008-04-19

Blind Constant Modulus Algorithm:Removing Signal Phase Ambiguity Generated by Channel Phase Offset and Doppler Frequency Shift

摘要

摘要: 多滞后高阶瞬时量(Multi-Lag High-order Instantaneous Moment, ML-HIM)作为一种纠正相位模糊的编码方法，不仅能消除传输中的常相位偏移，还能消除多普勒频移的影响。虽然差分编码可消除常相位偏移，却无法纠正多普勒频移，而多普勒频移无法在盲常模(Constant Modulus, CM)均衡中消除。为此，该文将ML-HIM方法应用于常模盲均衡算法中能够很好纠正信道产生的相位模糊问题。实验结果表明，修改后的常模算法较之迄今为止文献中其他消除相位模糊的算法效果更理想，ML-HIM方法完全适用于盲均衡算法。
- 常模算法; 相位模糊; 多滞后高阶瞬时量; 常相位偏移; 多普勒频移
Abstract: Multi-Lag High-order Instantaneous Moment (ML-HIM), an encoding method removing signal phase ambiguity, can correct not only the constant phase offset but also Doppler frequency shift. Differential coding method can mitigate constant phase offset excluding Doppler frequency shift which also can not be removed in blind constant modulus equalization. This paper, therefore, introduces ML-HIM in the constant modulus algorithm for recovering received signal phase. The experimental results show that the modified constant modulus algorithm here is more optimal than other methods represented before and the ML-HIM is thoroughly adapted to blind equalization algorithms.

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参考文献(1)

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