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arXiv 2402.16618cs.ITeess.SPmath.IT

基于索引调制的导频辅助信道估计用于超奈奎斯特信号高频通信

IM-based Pilot-assisted Channel Estimation for FTN Signaling HF Communications

Simin Keykhosravi, Ebrahim Bedeer

备注：
This paper is submitted to IEEE Transactions on Broadcasting
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AI总结：

本文针对超奈奎斯特信号高频通信中的双选择性信道估计问题，提出基于索引调制的导频辅助信道估计算法，通过导频序列放置与位置识别提升频谱效率，并显著改善信道估计MSE和误码率性能。

摘要：

本文研究超奈奎斯特（FTN）信号高频（HF）通信中的双选择性（即时间和频率选择性）信道估计。特别地，我们提出了一种新颖的基于索引调制（IM）的信道估计算法，用于FTN信号高频通信，包括导频序列放置（PSP）和导频序列位置识别（PSLI）算法。在发射端，我们提出了PSP算法，利用导频序列的位置来携带额外信息比特，从而提高高频通信的频谱效率（SE）。高频信道具有两条非零独立衰落路径，并具有国际电信联盟无线电通信部门（ITU-R）F.1487和F.520建议书中规定的特定固定时延扩展和频率扩展特性。基于上述高频信道特性以及最优导频序列良好的自相关特性，我们提出了一种新颖的PSLI算法，在接收端有效识别给定帧内的导频序列位置。这是通过证明接收符号与导频序列之间互相关绝对值的平方由导频序列自相关绝对值平方的缩放版本组成，并以相应高频信道路径的增益加权来实现的。仿真结果表明，对于高频信道，导频序列位置识别误差非常低。我们的仿真结果显示，与文献[1]中的方法相比，信道估计的均方误差（MSE）改善了6 dB，FTN信号的误码率（BER）改善了约3.5 dB，同时频谱效率得到增强。与文献[2]中的工作相比，我们在保持可比的信道估计MSE和BER性能的同时，也实现了频谱效率的增强。

英文摘要：

This paper investigates doubly-selective (i.e., time- and frequency-selective) channel estimation in faster-than-Nyquist (FTN) signaling HF communications. In particular, we propose a novel IM-based channel estimation algorithm for FTN signaling HF communications including pilot sequence placement (PSP) and pilot sequence location identification (PSLI) algorithms. At the transmitter, we propose the PSP algorithm that utilizes the locations of pilot sequences to carry additional information bits, thereby improving the SE of HF communications. HF channels have two non-zero independent fading paths with specific fixed delay spread and frequency spread characteristics as outlined in the Union Radio communication Sector (ITU-R) F.1487 and F.520. Having said that, based on the aforementioned properties of the HF channels and the favorable auto-correlation characteristics of the optimal pilot sequence, we propose a novel PSLI algorithm that effectively identifies the pilot sequence location within a given frame at the receiver. This is achieved by showing that the square of the absolute value of the cross-correlation between the received symbols and the pilot sequence consists of a scaled version of the square of the absolute value of the auto-correlation of the pilot sequence weighted by the gain of the corresponding HF channel path. Simulation results show very low pilot sequence location identification errors for HF channels. Our simulation results show a 6 dB improvement in the MSE of the channel estimation as well as about 3.5 dB BER improvement of FTN signaling along with an enhancement in SE compared to the method in [1]. We also achieved an enhancement in SE compared to the work in [2] while maintaining comparable MSE of the channel estimation and BER performance.

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