| 摘要: |
| 针对无线突发通信中频带利用率低、信道参数获取困难等问题，提出了一种应用于突
发通信的叠加训练信道估计与检测方案。该方案将信息和训练叠加发送，通过预失真发送信
息符号使得训练与信息在频域正交，收端采用一阶统计信道估计和最大似然符号检测，并设
计了抗直流干扰的信道估计方案。仿真表明，新方案在消除训练序列的频带开销的情况下获
得了较好的信道估计和符号检测性能，与采用时分复用训练的方案相比，其有效吞吐率更优
。 |
| 关键词: 突发通信 数据依赖叠加训练 信道估计与检测 频率选择性信道 |
| DOI： |
|
| 基金项目:国家高新技术研究发展计划(863计划)项目(2011AA7014061) |
|
| Channel estimation using superimposed training in burst communication |
| HE Chun-quan,SUN Yan,DOU Gao-qi,GAO Jun,HUANG Gao-ming |
| () |
| Abstract: |
| In wireless burst communication, the bandwidth efficiency is low and t
he channel parameters are difficult to acquire. To solve these problems, a chann
el estimation and detection scheme for burst communication is proposed using superimp
osed training (ST). In this scheme, the information and training are added toget
her at the transmitter, where the training symbols are predistored for training
-information orthogonalization in frequency domain. At the receiver, a first-o
rder statistic-based channel estimation algorithm is adopted in conjunction wit
h a maximum likelihood sequence detection method. The channel estimation algorit
hm is also immune to dc-offset interference. Simulation results show that the n
ew scheme has fairly well channel estimation and symbol detection performance wi
thout any training bandwidth overhead, leading to a better effective throughput
performance when compared to the schemes using time division multiplexed (TDM) training. |
| Key words: burst communication data-dependent superimposed training (DDST) channel estim
ation and detection frequency selective channel |
