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Estimation of intrapulse modulation parameters of LPI radar under noisy conditions

Published online by Cambridge University Press:  03 December 2021

Chilukuri Raja Kumari Open the ORCID record for Chilukuri Raja Kumari [Opens in a new window] ,
Hari Kishore Kakarla  and
K. Subbarao
Chilukuri Raja Kumari*
Affiliation:
Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh 522502, India Department of ECE, VNRVJIET, Hyderabad 500090, India
Hari Kishore Kakarla
Affiliation:
Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh 522502, India
K. Subbarao
Affiliation:
Department of Electronics and Communication Engineering (Retd.), Osmania University, Hyderabad 500007, India
*
Author for correspondence: Chilukuri Raja Kumari, E-mail: chrajakumari@gmail.com
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Abstract

Low probability of intercept (LPI) radars utilize specially designed waveforms for intra-pulse modulation and hence LPI radars cannot be easily intercepted by passive receivers. The waveforms include linear frequency modulation, nonlinear frequency modulation, polyphase, and polytime codes. The advantages of LPI radar are wide bandwidth, frequency variability, low power, and the ability to hide their emissions. On the other hand, the main purpose of intercept receiver is to classify and estimate the parameters of the waveforms even when the signals are contaminated with noise. Precise measurement of the parameters will provide necessary information about a threat to the radar so that the electronic attack or electronic warfare support system could take instantaneous counter action against the enemy. In this work, noisy polyphase and polytime coded waveforms are analyzed using cyclostationary (CS) algorithm. To improve the signal quality, the noisy signal is pre-processed using two types of denoising filters. The denoised signal is analyzed using CS techniques and the coefficients of spectral correlation density are computed. With this method, modulation parameters of nine types of waveforms up to −12 dB signal-to-noise ratio with an accuracy of better than 95% are extracted. When compared with literature values, it is found that the results are superior.

Keywords

BarkerBi frequencycontour plotcyclic autocorrelation functioncyclostationarydenoisingLPIspectral correlation density
Type
Radar
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Issue 9 , November 2022 , pp. 1177 - 1194
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

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