A passive radar system for detecting UAV based on the OFDM communication signal

Yang, Xiaoqi; Huang, Kai; Jiang, Weidong; Zhao, Jiewen; Qiu, Zhaokun

doi:10.1109/piers.2016.7735118

Cited by 12 publications

(4 citation statements)

References 9 publications

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“…Target localization system consists of N=3 LTE eNodeBs and one radar receiver [19] Yang X Q, from National University of Defense Technology, also based on the nearby 4-Genreration (4G) base station communication signal, recognized and monitored the "black-flying" UAV by receiving the target echo of orthogonal frequency division multiplexing (OFDM) and Pulse Compression, Digital Beam Forming and improve the Constant False Alarm Rate. The monitoring elevation angle is 45 degrees [20] .…”

Section: External Radiation Source Receiving Antennamentioning

confidence: 99%

“…Figure 8. Pitch radiation patterns under different array radius [20] The detection distance of passive radar based on external radiation source is still far behind that of active radar. The current research direction is mainly focused on multi-station cooperative high-precision positioning and large-scale surveillance, low resource occupancy rate and so on.…”

Section: External Radiation Source Receiving Antennamentioning

confidence: 99%

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Reviews on detection technology of low-small-slow UAV

Wang,

Liu,

Liu

2023

Third International Computing Imaging Conference (CITA 2023)

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The efficient detection of “low-altitude, small, slow” UAV is always a difficult problem to overcome. In this paper, we are aiming at the application and threat cases of “low-altitude, small, slow” UAV, analyze the basic principle and development status of several kinds of methods in the detection of this target, and then makes an outlook on the future development direction of “low-altitude, small, slow” UAV detection.

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Section: External Radiation Source Receiving Antennamentioning

confidence: 99%

Section: External Radiation Source Receiving Antennamentioning

confidence: 99%

Reviews on detection technology of low-small-slow UAV

Wang,

Liu,

Liu

2023

Third International Computing Imaging Conference (CITA 2023)

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“…In this paper, we will consider the case of phase modulation (M-PSK). Thus, the following signal model can be expressed as follows: r(t) = A s(t)e jkx(t) + ñ(t) (16) with:…”

Section: Theoretical Explanationsmentioning

confidence: 99%

From Modeling to Sensing of Micro-Doppler in Radio Communications

et al. 2022

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The Doppler effect in radio systems has been widely explored by the radio communication community. However, these studies have been limited to simple motion such as linear translation. This paper presents a model for the Doppler modulation effect, i.e., the effect of complex movement on the received signal, using a geometrical approach. Particularly, we focused on studying micro-Doppler phenomena in radio communications produced by vibrations. Exploiting this phenomenon would allow the performance of passive micro-Doppler effect sensing based on communication. In this paper, we also propose signal processing techniques to detect the presence of the micro-Doppler effect and to estimate its parameters. Then, we present some experiments which highlight the micro-Doppler effect in a radio communication context. Finally, the end of the paper discusses some potential applications that exploit this phenomenon.

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“…some end portion of that symbol is prefixed to that same symbol. It means that LTE passive radar could follow the radar processing from CP-OFDM pattern Berger et al (2008Berger et al ( ), (2010; Chabriel et al (2014); Wan et al (2014); Xiaoqi Yang et al (2016). As shown in Figure 1, surveillance antenna receives reflected echo from UAV (Direct Path 1, 2), echoes from clutter path (house, tree) and from the direct path as well.…”

Section: Cp Ofdm Based Conceptmentioning

confidence: 99%

LTE-based passive radars and applications: a review

Kumar

Khan

et al. 2021

International Journal of Remote Sensing

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This paper provides an overview of the most recent passive radars based on long-term evolution (LTE). To begin, this paper investigates the various characteristics and requirements of 4 G LTE signals for radar, taking performance aspects such as range, velocity, range resolution, and velocity resolution into account. An ambiguity function analysis is performed on a measured LTE signal using the synchronization and reference signal components to evaluate key performance parameters such as Doppler and range characteristics. We also discuss how LTE passive radar can be used in a variety of applications. The detailed analysis of the LTE downlink signal, its structural overview, and the effect on cross-and self-ambiguity functions are all discussed. The paper investigates related standard development proposals, with a focus on performance evaluation criteria for existing passive radar technologies. As a result, this survey paper serves as a starting point for evaluating the performance of current and future passive radar innovations, including an emerging 5 G radar.

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A passive radar system for detecting UAV based on the OFDM communication signal

Cited by 12 publications

References 9 publications

Reviews on detection technology of low-small-slow UAV

Reviews on detection technology of low-small-slow UAV

From Modeling to Sensing of Micro-Doppler in Radio Communications

LTE-based passive radars and applications: a review

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