Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks

In this paper, the effects of phase noise difference in receiving signals are introduced to discriminate targets. Oscillators and signal sources have their own phase noise levels and specific patterns. This property can be used for discriminating a real target from the airborne digital radio frequen...

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Main Authors: Mahdi Nouri, Mohsen Mivehchy, Mohamad F. Sabahi
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7827908/
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author Mahdi Nouri
Mohsen Mivehchy
Mohamad F. Sabahi
author_facet Mahdi Nouri
Mohsen Mivehchy
Mohamad F. Sabahi
author_sort Mahdi Nouri
collection DOAJ
description In this paper, the effects of phase noise difference in receiving signals are introduced to discriminate targets. Oscillators and signal sources have their own phase noise levels and specific patterns. This property can be used for discriminating a real target from the airborne digital radio frequency memory (DRFM) in continuous wave tracking radar sensor networks with linear frequency modulation. A simulated signal made through complex circuits by DRFM has higher phase noise with different patterns. To investigate the phase noise level of oscillators, a system is provided to measure the phase noise. Then, the probability of detection (P<sub>D</sub>) and the probability of false alarm (P<sub>fa</sub>) can be achieved by defining an appropriate threshold to evaluate the performance of discriminating between real targets and DRFM targets. The phase noise powers are measured through the same sets of circuits and coherent time periods in various radar sensor systems. To control the amplitude fluctuation of the received signal, the normalization of signal phase power is defined in phase noise bandwidths. The likelihood ratio test is used for target discrimination by a threshold level to achieve the minimum P<sub>fa</sub> of target discrimination. The proposed method has a simple structure without any additional complexities, and is easily compatible with common radar systems. Two real DRFM systems are used to evaluate the performance of the proposed method in both the L-band and X-band frequencies. The presented results are investigated in different ranges, Doppler frequencies, signal-to-noise ratios, and signal-to-jammer ratios. The experimental results prove the capability of proposed method in radar sensor networks.
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spelling doaj.art-c6deafa968904a1bbe60ead6a96f04962022-12-21T22:23:18ZengIEEEIEEE Access2169-35362017-01-015114551146710.1109/ACCESS.2017.26550407827908Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor NetworksMahdi Nouri0https://orcid.org/0000-0002-9151-6218Mohsen Mivehchy1https://orcid.org/0000-0002-2580-5601Mohamad F. Sabahi2Department of Electrical Engineering, University of Isfahan, Isfahan, IranDepartment of Electrical Engineering, University of Isfahan, Isfahan, IranDepartment of Electrical Engineering, University of Isfahan, Isfahan, IranIn this paper, the effects of phase noise difference in receiving signals are introduced to discriminate targets. Oscillators and signal sources have their own phase noise levels and specific patterns. This property can be used for discriminating a real target from the airborne digital radio frequency memory (DRFM) in continuous wave tracking radar sensor networks with linear frequency modulation. A simulated signal made through complex circuits by DRFM has higher phase noise with different patterns. To investigate the phase noise level of oscillators, a system is provided to measure the phase noise. Then, the probability of detection (P<sub>D</sub>) and the probability of false alarm (P<sub>fa</sub>) can be achieved by defining an appropriate threshold to evaluate the performance of discriminating between real targets and DRFM targets. The phase noise powers are measured through the same sets of circuits and coherent time periods in various radar sensor systems. To control the amplitude fluctuation of the received signal, the normalization of signal phase power is defined in phase noise bandwidths. The likelihood ratio test is used for target discrimination by a threshold level to achieve the minimum P<sub>fa</sub> of target discrimination. The proposed method has a simple structure without any additional complexities, and is easily compatible with common radar systems. Two real DRFM systems are used to evaluate the performance of the proposed method in both the L-band and X-band frequencies. The presented results are investigated in different ranges, Doppler frequencies, signal-to-noise ratios, and signal-to-jammer ratios. The experimental results prove the capability of proposed method in radar sensor networks.https://ieeexplore.ieee.org/document/7827908/Digital radio frequency memoryphase noise measurementfalse targetradar oscillatorlinear frequency modulation
spellingShingle Mahdi Nouri
Mohsen Mivehchy
Mohamad F. Sabahi
Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
IEEE Access
Digital radio frequency memory
phase noise measurement
false target
radar oscillator
linear frequency modulation
title Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
title_full Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
title_fullStr Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
title_full_unstemmed Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
title_short Novel Anti-Deception Jamming Method by Measuring Phase Noise of Oscillators in LFMCW Tracking Radar Sensor Networks
title_sort novel anti deception jamming method by measuring phase noise of oscillators in lfmcw tracking radar sensor networks
topic Digital radio frequency memory
phase noise measurement
false target
radar oscillator
linear frequency modulation
url https://ieeexplore.ieee.org/document/7827908/
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