强力推荐一篇Iterative Decoding 博士论文

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【文件名】:0695@52RD_Estimation over Hidden Markov Fading Channels.rar
【格　式】:rar
【大　小】:574K
【简　介】:The discovery of turbo codes in 1993 was perhaps the most significant breakthrough in the field of channel coding since the introduction of trellis codes in 1982. While trellis codes offer near capacity performance in band-limited channels, turbo codes offer near capacity performance in power-limited channels such as deep space, satellite, and terrestrial wireless
channels. Turbo codes have, therefore, attracted a lot of attention, and have been a topic of active research over the last few years. Not only has this research led to an improvement in the design and performance of turbo codes per se, it has, more importantly, led to a plethora of baseband applications and advance receiver designs that make use of the iterative decoding or the turbo processing principle. However, the near optimum performance of turbo codes and/or the performance gains realized via iterative decoding is conditioned upon reliable knowledge of the channel side information1. Lack of this knowledge can severely degrade the performance of turbo codes and/or offset any gains that may otherwise have been realized
via turbo processing. Therefore, the need for reliable channel knowledge necessitates some form of channel estimation at the receiver.
【目　录】:
1 Introduction
2 TheTurboCodec
3Mark ov Fading Channels
4 Channel Estimation
5 Iterative Decoding