Enhanced pulse amplitude estimation for electronic warfare systems

In electronic warfare systems, the pulse amplitude (PA) of the received signals, which are emitted by enemies, has been used as one of the essential quantities for separating the mixed source signals. The PA is affected by time of arrival (TOA) and time of departure (TOD) estimation performance. Amo...

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Bibliographic Details
Published in:IET radar, sonar & navigation sonar & navigation, 2019-07, Vol.13 (7), p.1123-1130
Main Authors: Lee, Yu-Ri, Kim, Dong-Gyu, Kim, Hyoung-Nam
Format: Article
Language:English
Subjects:
amplitude estimation
arrival
blind source separation
computational complexity
denoising techniques
electronic warfare
electronic warfare systems
enhanced pulse amplitude estimation
essential quantities
EW systems
frequency‐modulated signal
image denoising
low computational complexity
mixed source signals
power estimation‐based PA estimation method
pulse width
received signals
Research Article
sample units
signal denoising
signal detection
time domain
time‐of‐arrival estimation
TOA
TOD estimation errors
TOD estimation performance
unmodulated signal
wavelet packet denoising
wavelet transforms
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Summary:In electronic warfare systems, the pulse amplitude (PA) of the received signals, which are emitted by enemies, has been used as one of the essential quantities for separating the mixed source signals. The PA is affected by time of arrival (TOA) and time of departure (TOD) estimation performance. Among methods of estimating TOA and TOD, there is a method of processing a signal in sample units in the time domain. This method has a disadvantage that it is completely affected by noise. This disadvantage can be overcome by using denoising techniques as in previous studies. However, conventional studies applying denoising are limited to the subject of signal detection, and there is no discussion on the problem of PA estimation due to the TOA and TOD estimation errors that occur after denoising. Therefore, we propose a power estimation-based PA estimation method using shrinked PW to be robust for TOA and TOD errors in sample units after wavelet packet denoising with high-order statistics. Simulation results show that the proposed PA estimation method has a smaller error at the same SNR when an unmodulated signal is received. Moreover, the proposed method can provide good performance even when a frequency modulated signal is received.
ISSN:1751-8784
1751-8792
1751-8792
DOI:10.1049/iet-rsn.2018.5415