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Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing
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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, 1998, -1(-1): .
@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",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300462"
}
%0 Journal Article
%T Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing
%A Zhenkai ZHANG
%A Xiaoke SHANG
%A Yue XIAO
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
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%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300462
TY - JOUR
T1 - Target parameter estimation for OTFS integrated radar and communications based on sparse reconstruction preprocessing
A1 - Zhenkai ZHANG
A1 - Xiaoke SHANG
A1 - Yue XIAO
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300462
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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