RF Based UAV Detection and Defense Systems: Survey and a Novel Solution

Marțian, Alexandru; Chiper, Florin-Lucian; Crăciunescu, Răzvan; Vlădeanu, Călin; Marghescu, Ion

doi:10.1109/blackseacom52164.2021.9527871

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…Thus, the anti-unmanned-drone technique based on a thermal infrared imaging system has received increasing attention from investigators [3,4], while the infrared acquisition of small targets is also an essential technology in military, civil, and other fields [5][6][7]. This technology plays a crucial part in UAV target detection [8], control, and defense [9]. Quick and exact identification and tracing of targets in each frame is crucial in infrared detection [10].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring

Chen,

Wang,

Pang

et al. 2023

Remote Sensing

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Infrared small target detection is a crucial technology in both military and civilian applications, including surveillance, security, defense, and combat. However, accurate infrared detection of small targets in real-time is challenging due to their small size and similarity in gray level and texture with the surrounding environment, as well as interference from the infrared imaging systems in unmanned aerial vehicles (UAVs). This article proposes a weighted local contrast method based on the contrast mechanism of the human visual system. Initially, a combined contrast ratio is defined that stems from the pixel-level divergence between the target and its neighboring pixels. Then, an improved regional intensity level is used to establish a weight function with the concept of ratio difference combination, which can effectively suppress complex backgrounds and random noise. In the final step, the contrast and weight functions are combined to create the final weighted local contrast method (WRDLCM). This method does not require any preconditioning and can enhance the target while suppressing background interference. Additionally, it is capable of detecting small targets even when their scale changes. In the experimental section, our algorithm was compared with some popular methods, and the experimental findings indicated that our method showed strong detection capability based on the commonly used performance indicators of the ROC curve, SCRG, and BSF, especially in low signal-to-noise ratio situations. In addition, unlike deep learning, this method is appropriate for small sample sizes and is easy to implement on FPGA hardware.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring

Chen,

Wang,

Pang

et al. 2023

Remote Sensing

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show abstract

“…The system was developed within the framework of the DronEnd research project [172]. The preliminary details regarding the project were given in [173].…”

Section: Dronend Detection and Defense Systemmentioning

confidence: 99%

Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution

Chiper

Marțian

Vlădeanu

et al. 2022

Sensors

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With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to detect and provide defense actions against such threats has become apparent. In this paper, we perform a survey regarding the different drone detection and defense systems that were proposed in the literature, based on different types of methods (i.e., radio frequency (RF), acoustical, optical, radar, etc.), with an emphasis on RF-based systems implemented using software-defined radio (SDR) platforms. We have followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in order to provide a concise and thorough presentation of the current status of the subject. In the final part, we also describe our own solution that was designed and implemented in the framework of the DronEnd research project. The DronEnd system is based on RF methods and uses SDR platforms as the main hardware elements.

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“…Currently, there are numerous solutions in the field of anti-drone systems available on the market. Their main task is to counteract UAVs by detecting and combating them using kinetic methods or energy directed at the UAV in the form of an electromagnetic pulse [8,9]. The most advanced technical solutions use full azimuth coverage of 360 • and hemispherical elevation coverage in the range of −45 • to 225 • .…”

Section: Review Of Anti-drone Systemsmentioning

confidence: 99%

Multi-Sensory Data Fusion in Terms of UAV Detection in 3D Space

Dudczyk¹,

Czyba

Skrzypczyk

2022

Sensors

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The paper focuses on the problem of detecting unmanned aerial vehicles that violate restricted airspace. The main purpose of the research is to develop an algorithm that enables the detection, identification and recognition in 3D space of a UAV violating restricted airspace. The proposed method consists of multi-sensory data fusion and is based on conditional complementary filtration and multi-stage clustering. On the basis of the review of the available UAV detection technologies, three sensory systems classified into the groups of passive and active methods are selected. The UAV detection algorithm is developed on the basis of data collected during field tests under real conditions, from three sensors: a radio system, an ADS-B transponder and a radar equipped with four antenna arrays. The efficiency of the proposed solution was tested on the basis of rapid prototyping in the MATLAB simulation environment with the use of data from the real sensory system obtained during controlled UAV flights. The obtained results of UAV detections confirmed the effectiveness of the proposed method and theoretical expectations.

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RF Based UAV Detection and Defense Systems: Survey and a Novel Solution

Cited by 9 publications

References 22 publications

RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring

RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring

Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution

Multi-Sensory Data Fusion in Terms of UAV Detection in 3D Space

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