CLC number: TB52
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2014-01-14
Cited: 0
Clicked: 6309
Lin-wei Tao, Ying-min Wang. Target localization based on joint measurement of amplitude and frequency in a LOFAR field[J]. Journal of Zhejiang University Science A, 2014, 15(2): 130-137.
@article{title="Target localization based on joint measurement of amplitude and frequency in a LOFAR field",
author="Lin-wei Tao, Ying-min Wang",
journal="Journal of Zhejiang University Science A",
volume="15",
number="2",
pages="130-137",
year="2014",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1300263"
}
%0 Journal Article
%T Target localization based on joint measurement of amplitude and frequency in a LOFAR field
%A Lin-wei Tao
%A Ying-min Wang
%J Journal of Zhejiang University SCIENCE A
%V 15
%N 2
%P 130-137
%@ 1673-565X
%D 2014
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1300263
TY - JOUR
T1 - Target localization based on joint measurement of amplitude and frequency in a LOFAR field
A1 - Lin-wei Tao
A1 - Ying-min Wang
J0 - Journal of Zhejiang University Science A
VL - 15
IS - 2
SP - 130
EP - 137
%@ 1673-565X
Y1 - 2014
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1300263
Abstract: To estimate the motion parameters of a moving target before its passing by the closest point of approach (CPA) point in a low frequency analyzing and recording (LOFAR) field, an error-free theoretical method based on the joint measurement of target radiated noise’s amplitude and frequency was presented. First, the error-free theoretical equations for target characteristic frequency, absolute velocity, the CPA, and amplitude of the radiation noise were derived by three equal interval measured values of the target amplitude and frequency. Then, the method to improve the calculation accuracy was given. Finally, the simulation and experiments were conducted in the air and showed the correctness of this method. By using one single piece of LOFAR, this method can calculate four target parameters and the relative error of each estimated parameter is less than 10%.
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