JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing

Author(s): Zhenkai ZHANG, Xiaoke SHANG, Yue XIAO
Affiliation(s): Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Corresponding email(s): zhangzhenkai@just.edu.cn
Key Words: Integrated radar and communications system; Orthogonal time–frequency space; Target parameter estimation; Sparse reconstruction; Weighted subspace fitting

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Zhenkai ZHANG, Xiaoke SHANG, Yue XIAO. Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2300462

@article{title="Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing",
author="Zhenkai ZHANG, Xiaoke SHANG, Yue XIAO",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2300462"
}

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%T Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing
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%A Xiaoke SHANG
%A Yue XIAO
%J Frontiers of Information Technology & Electronic Engineering
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%@ 2095-9184
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doi="https://doi.org/10.1631/FITEE.2300462"

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A1 - Zhenkai ZHANG
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A1 - Yue XIAO
J0 - Frontiers of Information Technology & Electronic Engineering
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doi="https://doi.org/10.1631/FITEE.2300462"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Orthogonal time-frequency space (OTFS) is a new modulation technique proposed in recent years for high Doppler wireless scenes. In order to solve the parameter estimation problem of the OTFS-integrated radar and communications system (IRCS), this paper presents the design for a parameter estimation method based on sparse reconstruction preprocessing to reduce the computational effort of the traditional weighted subspace fitting (WSF) algorithm. First, an OTFS-integrated echo signal model is constructed. Then, the echo signal is transformed to the time domain to separate the target angle from the range, and the range and angle of the detected target are coarsely estimated by using the sparse reconstruction algorithm. Finally, the WSF algorithm is used to refine the search with the coarse estimate at the center, to obtain an accurate estimate. The simulation experiments demonstrate the effectiveness and superiority of the proposed parameter estimation algorithm.

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