NDLI: Reduced complexity and near optimum detector for linear-frequency-modulated and phase-modulated LPI radar signals

Content Provider	IET Digital Library
Author	Dezfuli, Ali Abbasi Shokouhmand, Arash Oveis, Amir Hosein Norouzi, Yaser
Abstract	Dealing with low probability of intercept (LPI) radar signals in very low signal-to-noise ratio (SNR) stages requires reconnaissance systems to employ an effectively practical method for detecting and fully characterising the received signals. Following the aim of LPI signal detection, in this study, a novel method based on concentrating the energy of the signal in one particular row of the time–frequency domain matrix is proposed. It is shown that the proposed method enables to detect and estimate the parameters of multiple low-power linear-frequency-modulated signals. A comparison has been made between the performance of the matched filter and the proposed method, and it is shown the proposed method has approximately the same performance and low computational complexity as matched filters. This method is also able to detect the poly-phase signals such as Frank-coded signals and also non-linear-frequency-modulated signals, as well. To show the effectiveness of the method, extensive simulations are carried out with different LPI radar waveforms corrupted with additive white Gaussian noise of SNR down to −25 dB.
Starting Page	593
Ending Page	600
Page Count	8
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 4, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5271
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-11-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive White Gaussian Noise Channel Algebra AWGN Computational Complexity Filter And Other Network Filtering Method in Signal Processing Filtering Theory FM Radar Frank-coded Signal Frequency Domain Analysis Low Computational Complexity Low Probability-of-intercept Radar Signal Low Signal-to-noise Ratio Low-power Linear-frequency-modulated Signal LPI Radar Waveform LPI Signal Detection Matched Filter Mathematical Analysis Matrix Algebra Near Optimum Detector Noise Figure -25 DB Nonlinear-frequency-modulated Signal Phase Modulation Phase-modulated LPI Radar Signal Poly-phase Signal Probability Radar Detection Radar Equipment Radar Receiver Radar Signal Processing Reconnaissance System Reduced Complexity Signal Detection SNR Statistics System And Application Time-frequency Domain Matrix
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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