Implementation of FM-Broadcasting-Based Passive Radar and Analysis of Target Detection Results

Park, Geun-Ho; Son, So-Young; Kim, Hyoung-Nam

doi:10.7840/kics.2019.44.6.1201

Cited by 2 publications

(1 citation statement)

References 4 publications

(4 reference statements)

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“…바이스태틱 PCL 환경의 수신기는 수신 신호의 펄스 압 축(pulse compression) 과정을 통하여 송신기-표적-수신기 이동 거리인      를 추정할 수 있다 [12] . 바이스태틱 기 하 구조에서는 표적의 예상 구간을 타원체로 표현할 수 있으며, 최소 3쌍의 다중 바이스태틱 구조가 형성된다면 표적의 위치를 추정할 수 있다 [13], [14] . 그림 2는 3개의 송신 기와 1개의 수신기가 배치될 때의 타원체 형성을 통한 좌 표 추정 예시를 보여주고 있다.…”

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Classification of Low RCS Targets Based on PCL Radar Network Using Statistical Hypothesis Test

Lee¹,

Choi²,

Kim³

et al. 2019

J. Korean Inst. Electromagn. Eng. Sci.

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In this paper, we propose a new framework of target classification for a passive coherent location(PCL) radar network. The framework uses radar cross sections(RCSs) obtained from multiple bistatic radars, and is computationally more efficient compared with the conventional method that uses time-varying RCSs obtained from a monostatic radar. Firstly, we construct the training set of the bistatic RCS distribution of each target using the scenario-based method and a PCL radar network with multiple transmitters and a receiver. Next, assuming that a test sequence consists of bistatic RCSs, we classify each target using statistical hypothesis test algorithms, such as Z-test, Wilcoxon test, and sign test. The proposed framework demonstrated better performance than the conventional method, in terms of computational efficiency.

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Classification of Low RCS Targets Based on PCL Radar Network Using Statistical Hypothesis Test

Lee¹,

Choi²,

Kim³

et al. 2019

J. Korean Inst. Electromagn. Eng. Sci.

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Drone Detection Using DTV-Based Passive Radar System

Chun¹,

Lee²,

이³

et al. 2021

J. Korean Inst. Electromagn. Eng. Sci.

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Despite increasing threats from hostile drones, the conventional active radar system remains inappropriate for urban surveillance purposes. The digital video broadcasting-terrestrial (DVB-T) signal exhibits a wide bandwidth and high transmit power compared with FM or WiFi signals, and hence enables the design of simple, low-cost passive radar with wide coverage areas. In this paper, a DVB-T system is employed to construct a passive radar surveillance system, and its performance is assessed experimentally in terms of detecting airplanes and small drones. For this purpose, a simple passive radar is implemented using high-gain antennas and low-cost RF receivers. After the DVB-T signals received through passive channels are processed, target-detection scenarios are carried out for flying airplanes and drones.

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Implementation of FM-Broadcasting-Based Passive Radar and Analysis of Target Detection Results

Cited by 2 publications

References 4 publications

Classification of Low RCS Targets Based on PCL Radar Network Using Statistical Hypothesis Test

Classification of Low RCS Targets Based on PCL Radar Network Using Statistical Hypothesis Test

Drone Detection Using DTV-Based Passive Radar System

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