Optimal pilot design for OTFS in linear time-varying channels

IF 3.6 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Signal Processing Pub Date : 2025-08-06 DOI:10.1016/j.sigpro.2025.110223

Ids van der Werf , Richard Heusdens , Richard C. Hendriks , Geert Leus

引用次数: 0

Abstract

This paper investigates the positioning of the pilot symbols, as well as the power distribution between the pilot and the communication symbols for the orthogonal time frequency space (OTFS) modulation scheme. We analyze the pilot placements that minimize the mean squared error (MSE) in estimating the channel taps. This allows us to identify two new pilot allocations for OTFS that save approximately 50% of the pilot overhead compared to existing allocations. In addition, we optimize the average channel capacity by adjusting the power distribution. We show that this leads to a significant increase in average capacity. The results provide valuable guidance for designing the OTFS parameters to achieve maximum capacity. Numerical simulations are performed to validate the findings.

查看原文本刊更多论文

线性时变信道OTFS的优化导频设计

本文研究了正交时频空间（OTFS）调制方案中导频码元的定位，以及导频码元与通信码元之间的功率分布。我们分析了在估计信道抽头时最小化均方误差（MSE）的导频放置。这使我们能够为OTFS确定两个新的试点分配，与现有分配相比，它们节省了大约50%的试点开销。此外，我们还通过调整功率分配来优化平均信道容量。我们表明，这将导致平均容量的显著增加。研究结果为OTFS参数的设计提供了有价值的指导。数值模拟验证了研究结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Signal Processing 工程技术-工程：电子与电气

CiteScore

9.20

自引率

9.10%

发文量

309

审稿时长

41 days

期刊介绍： Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.