CLC number: TN953
On-line Access: 2022-02-28
Received: 2020-08-17
Revision Accepted: 2022-04-22
Crosschecked: 2021-01-17
Cited: 0
Clicked: 6306
Citations: Bibtex RefMan EndNote GB/T7714
Chenghu CAO, Yongbo ZHAO. Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(2): 304-316.
@article{title="Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar",
author="Chenghu CAO, Yongbo ZHAO",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="2",
pages="304-316",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000418"
}
%0 Journal Article
%T Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar
%A Chenghu CAO
%A Yongbo ZHAO
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 2
%P 304-316
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000418
TY - JOUR
T1 - Range estimation based on symmetry polynomial aided Chinese remainder theorem for multiple targets in a pulse Doppler radar
A1 - Chenghu CAO
A1 - Yongbo ZHAO
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 2
SP - 304
EP - 316
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000418
Abstract: To avoid Doppler ambiguity, pulse Doppler radar may operate on a high pulse repetition frequency (PRF). The use of a high PRF can, however, lead to range ambiguity in many cases. At present, the major efficient solution to solve range ambiguity is based on a waveform design scheme. It adds complexity to a radar system. However, the traditional multiple-PRF-based scheme is difficult to be applied in multiple targets because of unknown correspondence between the target range and measured range, especially using the Chinese remainder theorem (CRT) algorithm. We make a study of the CRT algorithm for multiple targets when the residue set contains noise error. In this paper, we present a symmetry polynomial aided CRT algorithm to effectively achieve range estimation of multiple targets when the measured ranges are overlapped with noise error. A closed-form and robust CRT algorithm for single target and the Aitken acceleration algorithm for finding roots of a polynomial equation are used to decrease the computational complexity of the proposed algorithm.
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