Passive radar imaging using DVB-S2

Brisken, Stefan; Moscadelli, Matteo; Seidel, Viktor; Schwark, Christoph

doi:10.1109/radar.2017.7944264

Cited by 50 publications

(27 citation statements)

References 4 publications

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“…The phase shifters in the remaining RF chains are randomly set, thus for creating redundant observations of the received data in order to improve the estimation accuracy. An important fact that can be observed from (50)- (52) is that the mutual interference signal in (51) will not degrade the AoA estimation performance. Instead, it may provide benefits in estimating some of the AoAs.…”

Section: B Target Trackingmentioning

confidence: 99%

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

1,271

602

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For the sake of enhancing the exploitation of the permanently allocated, but potentially under-utilized spectral resources, sharing the frequency bands between radar and communication systems has attracted substantial attention. More explicitly, there is increasing demand for sharing both the frequency band and the hardware platform between these two functionalities, but naturally, its success critically hinges on highquality joint sensing and communications. In this paper, we firstly overview the application scenarios and the research progress in the area of communication and radar spectrum sharing, with particular emphasis on: 1) Radar-communication coexistence; 2) Dual-functional radar-communication (DFRC) systems. In the remainder of the paper, we propose a novel transceiver architecture and frame structure for a DFRC base station (BS) operating in the millimeter wave (mmWave) band, using the hybrid analog-digital (HAD) beamforming technique. We assume that the BS is serving a multi-antenna aided user equipment (UE) operating in a mmWave channel, which in the meantime actively detects multiple targets. Note that part of the targets also play the role of scatterers for the communication signal. Given this framework, we then propose a novel scheme for joint target search and communication channel estimation relying on the omni-directional pilot signals generated by the HAD structure. Given a fully-digital communication precoder and a desired radar transmit beampattern, we propose to design the analog and digital precoders under non-convex constant-modulus (CM) and power constraints, such that the BS can formulate narrow beams towards all the targets, while pre-equalizing the impact of the communication channel. Furthermore, we design an HAD receiver that can simultaneously process signals from the UE and echo waves from the targets. By tracking the angular variation of the targets, we show that it is possible to recover the target echoes and mitigate the potential interference imposed on the UE signals by invoking the successive interference cancellation (SIC) technique, even when the radar and communication signals share the equivalent signal-to-noise ratio (SNR). The feasibility and the efficiency of the proposed approaches in realizing DFRC are verified via numerical simulations. Finally, our discussions are summarized by overviewing the open problems in the research field of CRSS.

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Section: B Target Trackingmentioning

confidence: 99%

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

1,271

602

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“…For a target with constant speed, it is assumed that the resultant Doppler frequency shift will also be constant [35]. In reality, a target like a drone does not maintain constant velocity while moving, and neither does the rotating blade.…”

Section: Empirical Mode Decomposition (Emd)mentioning

confidence: 99%

Passive Forward-Scattering Radar Using Digital Video Broadcasting Satellite Signal for Drone Detection

Abdullah

Musa

Rashid³

et al. 2020

Remote Sensing

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This paper presents a passive radar system using a signal of opportunity from Digital Video Broadcasting Satellite (DVB-S). The ultimate purpose of the system is to be used as an air traffic monitoring and surveillance system. However, the work focuses on drone detection as a proof of the concept. Detecting a drone by using satellite-based passive radar possess inherent challenges, such as the small radar cross section and low speed. Therefore, this paper proposes a unique method by leveraging the advantage of forward-scattering radar (FSR) topology and characteristics to detect a drone; in other words, the system is known as a passive FSR (p-FSR) system. In the signal-processing algorithm, the empirical mode decomposition (EMD) is applied to the received signal to extract the unique feature vector of the micro-Doppler frequency from the drone’s rotating blades. The paper highlights the p-FSR experimental setup and experiment campaign to detect drones. The experimental results show the feasibility of the p-FSR using a signal transmitted from a satellite to detect flying drone crossing the forward-scatter baseline between the satellite and ground station.

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“…Wi-Fi [31], [32], digital video broadcasting-terrestrial (DVB-T) [33]- [35], & mobile phones base stations [36], [37]), satellite-borne illuminators (e.g. Global Navigation Satellite System (GNSS) [38] & Satellite TV (DVB-S) [39]), and terrestrial positioning systems (e.g. [40], [41]).…”

Section: Passive Radar Network (Prn)mentioning

confidence: 99%

Evolution of Netted Radar Systems

Geng

2020

IEEE Access

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The netted radar systems are known for being able to provide higher target detection probabilities, more accurate measurements, and better multi-target tracking performance than the monostatic/bistatic radar systems by exploiting information fusion processing. Simple radar networks made of multiple independent monostatic radars with decentralized processing have been around for several decades. In contrast, sophisticated radar networks with centralized data fusion only emerged during the last few years thanks to the development in high-speed digital processing and precise time/phase synchronization. Although the advanced radar networks offer the potential ability to detect stealth targets and low probability of intercept radar signal, there are many technical challenges to be solved before they could evolve from concepts in the research paper to implementable systems in the real-world. By presenting the various target detection and parameter estimation approaches adopted by the distributed MIMO radar, the passive radar network, the hybrid active-passive radar network, and the MIMO synthetic aperture radar (SAR), we lay out the foundation for the future research to be conducted to solve the key issues limiting the practical performance of these advanced radar networks.

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Passive radar imaging using DVB-S2

Cited by 50 publications

References 4 publications

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Passive Forward-Scattering Radar Using Digital Video Broadcasting Satellite Signal for Drone Detection

Evolution of Netted Radar Systems

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