Data-Aided Fractional Delay-Doppler Channel Estimation with Embedded Pilot Frames in DZT-Based OTFS

被引：0

作者：

Muppaneni, Sai Pradeep ^{[1
]}

Mattu, Sandesh Rao ^{[1
]}

Chockalingam, A. ^{[1
]}

机构：

[1] Indian Inst Sci, Dept ECE, Bangalore, Karnataka, India

来源：

2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年

关键词：

OTFS modulation; delay-Doppler domain; discrete Zak transform; fractional delay-Doppler; data-aided channel estimation; MODULATION;

D O I：

10.1109/VTC2023-Fall60731.2023.10333726

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Orthogonal time frequency space (OTFS) implementation using discrete Zak transform (DZT) has performance and complexity advantages in channels with high Doppler spreads. In this paper, we propose a data-aided approach to channel estimation in DZT-based OTFS systems with fractional delays and Dopplers. The proposed method employs an embedded pilot frame (consisting of pilot and data symbols) for channel estimation and leverages detected data to enhance channel estimation accuracy. The algorithm adopts a path-by-path approach where the channel parameters for one path are estimated before proceeding to the next, without assuming the knowledge of the number of paths. Considering the embedded nature of the pilot and data symbols in a frame, the effect of data signal-to-noise ratio (SNR) on the channel estimation performance and the effect of pilot SNR on the data detection performance are evaluated, leading to the data-aided approach to achieve improved performance. Simulation results show that the proposed estimation algorithm achieves significantly better performance compared to threshold based estimation algorithm.

引用

页数：7