Enhanced pulse amplitude estimation for electronic warfare systems

• Published in: IET radar, sonar & navigation Vol. 13; no. 7; pp. 1123 - 1130
• Main Authors: Lee, Yu-Ri, Kim, Dong-Gyu, Kim, Hyoung-Nam
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.07.2019
• 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; time-of-arrival estimation; time domain; wavelet transforms; arrival; amplitude estimation; PW; sample units; low computational complexity; signal denoising; EW systems; denoising techniques; received signals; TOD estimation errors; mixed source signals; blind source separation; enhanced pulse amplitude estimation; signal detection; wavelet packet denoising; power estimation-based PA estimation method; TOA; frequency-modulated signal; electronic warfare systems; unmodulated signal; essential quantities; pulse width; image denoising; electronic warfare; TOD estimation performance; computational complexity
• ISSN: 1751-8784; 1751-8792
• DOI: 10.1049/iet-rsn.2018.5415

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.