Integrated Sensing and Communication enabled Doppler Frequency Shift Estimation and Compensation

TL;DR

This paper presents an integrated sensing and communication approach for accurate Doppler Frequency Shift estimation and compensation in high-speed vehicular networks, improving communication reliability.

Contribution

The paper introduces a novel ISAC-based DFS estimation and compensation algorithm with adaptive estimation to enhance performance and reduce complexity.

Findings

Improved bit error rate performance

Reduced mean square error in DFS estimation

Effective compensation in high-speed scenarios

Abstract

Despite the millimeter wave technology fulfills the low-latency and high data transmission, it will cause severe Doppler Frequency Shift (DFS) for high-speed vehicular network, which tremendously damages the communication performance. In this paper, we propose an Integrated Sensing and Communication (ISAC) enabled DFS estimation and compensation algorithm. Firstly, the DFS is coarsely estimated and compensated using radar detection. Then, the designed preamble sequence is used to accurately estimate and compensate DFS. In addition, an adaptive DFS estimator is designed to reduce the computational complexity. Compared with the traditional DFS estimation algorithm, the improvement of the proposed algorithm is verified in bit error rate and mean square error performance by simulation results.