GNSS‐based passive UAV monitoring: a feasibility study

Ilioudis, Christos; Clemente, Carmine; Soraghan, John J.

doi:10.1049/iet-rsn.2019.0308

Cited by 13 publications

(9 citation statements)

References 29 publications

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“…The discontinuity of circular filtering limits the suppression performance of clutters with non-orthogonal frequencies. The filter in (18) can be replaced with a linear one to avoid discontinuity and to ameliorate the above problem. Such a process, called ECA-Linear Filter (ECA-LF), can be regarded as a sliding version of ECA-CF with a step size of 1.…”

Section: Suppression Algorithmmentioning

confidence: 99%

“…Spaceborne illuminators can be applied to more scenarios because of the broader coverage area provided by their giant footprints and evenly distributed power density. In recent works, [17,18] used global navigation satellite system (GNSS) signals to realize UAV detection. Due to the low ground power density, a substantial receiving antenna is needed to intensify the echo from weak targets, dramatically increasing system costs.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

Miao

Bao

et al. 2021

Remote Sensing

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The increasing accessibility of unmanned aerial vehicles (UAVs) drives the demand for reliable, easy-to-deploy surveillance systems to consolidate public security. This paper employs passive bistatic radar (PBR) based on a digital audio broadcast (DAB) satellite for UAV monitoring in applications with power density limitations on electromagnetic radiation. An advanced version of the extensive cancellation algorithm (ECA) based on data segmentation and coefficients filtering is designed to improve the efficiency of multipath clutter suppression while retaining robustness, for which the effectiveness is verified by theoretical derivation and simulation. The detectability of small UAVs with DAB satellite-based PBR is validated with experimental results, with which the influence of target altitude and bistatic geometry are also analyzed.

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Section: Suppression Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

Miao

Bao

et al. 2021

Remote Sensing

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“…A passive coherent location (PCL) is a type of radar system exploiting third-party transmitters that were initially constructed for broadcasting and communication systems [1][2][3]. Like other radar receivers, the PCL determines the target presence or absence via the well-known detection technique called the cellaveraging constant false alarm rate (CA-CFAR) [4], which is particularly useful in a homogeneous noise background.…”

Section: Introductionmentioning

confidence: 99%

Convolutional Neural Network-Based Target Detector Using Maxpooling and Hadamard Division Layers in FM-Band Passive Coherent Location

Park

Kim

2022

J Electromagn Eng Sci

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The constant false alarm rate (CFAR) has been widely used in radar systems to detect target echo signals because of its simplicity. With the recent development of different types of neural networks (NNs), NN architecture-based target detection methods are also being considered. Several studies related to NN-based target detectors have introduced multi-layer perceptron-based and convolutional neural network (CNN)-based structures. In this paper, we propose a CNN-based target detection method in frequency modulation (FM)-band passive coherent location (PCL). We improved the detection performance using a maxpooling layer and a Hadamard division layer, which are parallelly placed with a CNN layer. Moreover, in our method there is no need to determine the specific cell configuration (e.g., cell under test, reference cells, and guard cells) because the proposed method obtains the trained kernels by end-to-end learning. We show that the trained kernels help in the extraction of either signal or noise components. Through the simulations, we also prove that the proposed method can yield an improved receiver operating characteristic compared to that of a cell-averaging CFAR detector for FM-band PCL in a homogeneous environment.

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“…UAVs [ 1 , 2 , 3 ] ( Figure 1 ) were first designed to replace humans to complete high-intensity and high-risk work to improve work efficiency. They are developing very rapidly in various fields.…”

Section: Introductionmentioning

confidence: 99%

A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series

Cheng

Tan

Yao

et al. 2021

Sensors

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In recent years, fishery has developed rapidly. For the vital interests of the majority of fishermen, this paper makes full use of Internet of Things and air–water amphibious UAV technology to provide an integrated system that can meet the requirements of fishery water quality monitoring and prediction evaluation. To monitor target water quality in real time, the water quality monitoring of the system is mainly completed by a six-rotor floating UAV that carries water quality sensors. The GPRS module is then used to realize remote data transmission. The prediction of water quality transmission data is mainly realized by the algorithm of time series comprehensive analysis. The evaluation rules are determined according to the water quality evaluation standards to evaluate the predicted water quality data. Finally, the feasibility of the system is proved through experiments. The results show that the system can effectively evaluate fishery water quality under different weather conditions. The prediction accuracy of the pH, dissolved oxygen content, and ammonia nitrogen content of fishery water quality can reach 99%, 98%, and 99% on sunny days, and reach 92%, 98%, and 91% on rainy days.

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GNSS‐based passive UAV monitoring: a feasibility study

Cited by 13 publications

References 29 publications

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

Convolutional Neural Network-Based Target Detector Using Maxpooling and Hadamard Division Layers in FM-Band Passive Coherent Location

A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series

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