scholarly journals Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4171 ◽  
Author(s):  
Byunggil Choi ◽  
Daegun Oh ◽  
Sunwoo Kim ◽  
Jong-Wha Chong ◽  
Ying-Chun Li
Keyword(s):  
Long Range ◽  
Continuous Wave ◽  
Radar System ◽  
Lens Antenna ◽  
Horn Antennas ◽  
Fmcw Radar ◽  
Outdoor Environments ◽  
Joint Range ◽  
Sectoral Horn ◽  
24 Ghz

In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type drone using the implemented radar system up to a distance of 1 km. Moreover, a 3D subspace-based algorithm is proposed for the joint range-azimuth-Doppler estimation of long-range drone detection. The effectiveness of the long-range drone detection is verified with the implemented radar system through a variety of experiments in outdoor environments. This is the first such demonstration for long-range drone detection with a 24-GHz FMCW radar.

A 24 GHz wideband monostatic FMCW radar system based on a single-channel SiGe bipolar transceiver chip

2013 ◽  
Vol 5 (3) ◽  
pp. 309-317 ◽  
Author(s):  
Christian Bredendiek ◽  
Nils Pohl ◽  
Timo Jaeschke ◽  
Sven Thomas ◽  
Klaus Aufinger ◽  
...  
Keyword(s):  
Power Consumption ◽  
Phase Noise ◽  
Tuning Range ◽  
Continuous Wave ◽  
Single Channel ◽  
Radar System ◽  
Center Frequency ◽  
Fmcw Radar ◽  
24 Ghz ◽  
Better Than

In this paper a monostatic frequency-modulated continuous-wave (FMCW) radar system around a center frequency of 24 GHz with a wide tuning range of 8 GHz (≈33%) is presented. It is based on a fully integrated single-channel SiGe transceiver chip. The chip architecture consists of a fundamental VCO, a receive mixer, a divider chain, and coupling/matching networks. All circuits, except for the divider, are designed with the extensive use of on-chip monolithic integrated spiral inductors. The chip is fabricated in a SiGe bipolar production technology which offers an fT of 170 GHz and fmax of 250 GHz. The phase noise at 1 MHz offset is better than −100 dBc/Hz over the full-tuning range of 8 GHz and a phase noise of better than −111 dBc/Hz is achieved at 27 GHz. The peak output power of the chip is −1 dBm while the receive mixer offers a 1 dBm input referred compression point to keep it from being saturated. The chip has a power consumption of 245 mW and uses an area of 1.51 mm2. The FMCW radar system achieves a power consumption below 1.6 W. Owing to the high stability of the sensor, high accuracy mesaurements with a range error <±250 µm were achieved. The standard deviation between repeated measurements of the same target is 0.6 µm and the spatial resolution is 28 mm.

24 GHz FMCW Radar System for Real-Time Hand Gesture Recognition Using LSTM

2018 ◽  
Author(s):  
Jun Seuk Suh ◽  
Siiung Ryu ◽  
Bvunghun Han ◽  
Jaewoo Choi ◽  
Jong-Hwan Kim ◽  
...  
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Radar System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Fmcw Radar ◽  
24 Ghz

scholarly journals Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign

2019 ◽  
Vol 19 (2) ◽  
pp. 38
Author(s):  
Hana Pratiwi ◽  
Mujib R. Hidayat ◽  
A. A. Pramudita ◽  
Fiky Y. Suratman
Keyword(s):  
Target Detection ◽  
Continuous Wave ◽  
Beat Frequency ◽  
Radar System ◽  
Small Displacement ◽  
Phase Detection ◽  
Detection Capability ◽  
Fmcw Radar ◽  
Large Bandwidth ◽  
Human Respiration

Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection.

scholarly journals Deep Learning-Based Indoor Two-Dimensional Localization Scheme Using a Frequency-Modulated Continuous Wave Radar

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2166
Author(s):  
Kyungeun Park ◽  
Jeongpyo Lee ◽  
Youngok Kim
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Deep Neural Network ◽  
Continuous Wave ◽  
Two Dimensional ◽  
Fmcw Radar ◽  
Localization Scheme ◽  
Wave Radar ◽  
Conventional Scheme ◽  
24 Ghz

In this paper, we propose a deep learning-based indoor two-dimensional (2D) localization scheme using a 24 GHz frequency-modulated continuous wave (FMCW) radar. In the proposed scheme, deep neural network and convolutional neural network (CNN) models that use different numbers of FMCW radars were employed to overcome the limitations of the conventional 2D localization scheme that is based on multilateration methods. The performance of the proposed scheme was evaluated experimentally and compared with the conventional scheme under the same conditions. According to the results, the 2D location of the target could be estimated with a proposed single radar scheme, whereas two FMCW radars were required by the conventional scheme. Furthermore, the proposed CNN scheme with two FMCW radars produced an average localization error of 0.23 m, while the error of the conventional scheme with two FMCW radars was 0.53 m.

scholarly journals Evaluation of a robust correlation-based true-speed-over-ground measurement system employing a FMCW radar

2019 ◽  
Vol 11 (7) ◽  
pp. 686-693 ◽  
Author(s):  
Torsten Reissland ◽  
Bjoern Lenhart ◽  
Johann Lichtblau ◽  
Michael Sporer ◽  
Robert Weigel ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Field Measurements ◽  
Proof Of Concept ◽  
Fmcw Radar ◽  
Radar Sensors ◽  
Novel Approach ◽  
Ground Measurement ◽  
Wave Radar ◽  
24 Ghz

AbstractThis paper presents a novel approach for the determination of True-Speed-Over-Ground for trains. Speed determination is accomplished by correlating the received signals of two side-looking radar sensors. The theoretically achievable precision is derived. Test measurements are done in two different scenarios to give a proof of concept. Thereafter a series of field measurements is performed to rate the practical suitability of the approach. The results of the measurements are thoroughly evaluated. The test and field measurements are carried out using a 24 GHz frequency modulated continuous wave radar.

scholarly journals Educational Low-Cost C-Band FMCW Radar System Comprising Commercial Off-the-Shelf Components for Indoor Through-Wall Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2758
Author(s):  
Hyunmin Jeong ◽  
Sangkil Kim
Keyword(s):  
Continuous Wave ◽  
Low Cost ◽  
Low Noise ◽  
Radar System ◽  
Indoor Environments ◽  
Voltage Controlled Oscillator ◽  
Band Frequency ◽  
Fmcw Radar ◽  
Sensing Applications ◽  
Commercial Off The Shelf

This paper presents an educational low-cost C-band frequency-modulated continuous wave (FMCW) radar system for use in indoor through-wall metal detection. Indoor remote-sensing applications, such as through-wall detection and positioning, are essential for the comprehensive realization of the internet of things or super-connected societies. The proposed system comprises a two-stage radio-frequency power amplifier, a voltage-controlled oscillator, circuits for frequency modulation and system synchronization, a mixer, a 3-dB power divider, a low-noise amplifier, and two cylindrical horn antennas (Tx/Rx antennas). The antenna yields gain values in the 6.8~7.8 range when operating in the 5.83~5.94 GHz frequency band. The backscattered Tx signal is sampled at 4.5 kHz using the Arduino UNO analog-to-digital converter. Thereafter, the sampled signal is transferred to the MATLAB platform and analyzed using a customized FMCW radar algorithm. The proposed system is built using commercial off-the-shelf components, and it can detect targets within a 56.3 m radius in indoor environments. In this study, the system could successfully detect targets through a 4 cm-thick ply board with a measurement accuracy of less than 10 cm.

scholarly journals Low-Complexity 2D-MUSIC for Joint Range and Angle Estimation of Frequency Modulated Continuous-Wave Radar

2021 ◽  
Vol 21 (5) ◽  
pp. 399-405
Author(s):  
Yongchul Jung ◽  
Seunghyeok Lee ◽  
Seongjoo Lee ◽  
Yunho Jung
Keyword(s):  
Continuous Wave ◽  
Low Complexity ◽  
Processing Technique ◽  
Angle Estimation ◽  
Multiple Signal Classification ◽  
Fmcw Radar ◽  
Radar Systems ◽  
Wave Radar ◽  
Preprocessing Technique ◽  
Joint Range

A pre-processing technique is proposed to reduce the complexity of two-dimensional multiple signal classification (2D-MUSIC) for the joint range and angle estimation of frequency-modulated continuous-wave (FMCW) radar systems. By using the central symmetry of the angle steering vector from a uniform linear array (ULA) antenna and the linearity of the beat signal in the FMCW radar, this preprocessing technique transforms 2D-MUSIC from complex values into real values. To compare the computational complexity of the proposed algorithm with the conventional 2D-MUSIC, we measured the CPU processing time for various numbers of snapshots, and the evaluation results indicated that the 2D-MUSIC with the proposed pre-processing technique is approximately three times faster than the conventional 2D-MUSIC.

scholarly journals Design and Implementation of 24 GHz Multichannel FMCW Surveillance Radar with a Software-Reconfigurable Baseband

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Eugin Hyun ◽  
Young-Seok Jin ◽  
Jong-Hun Lee
Keyword(s):  
High Speed ◽  
Continuous Wave ◽  
Frequency Synthesizer ◽  
Parallel Architecture ◽  
Gain Control ◽  
Radar System ◽  
Data Logging ◽  
Time Data ◽  
Wave Radar ◽  
24 Ghz

We designed and developed a 24 GHz surveillance FMCW (Frequency Modulated Continuous Wave) radar with a software-reconfigurable baseband. The developed radar system consists of transceiver, two selectable transmit antennas, eight parallel receive antennas, and a back-end module for data logging and to control the transceiver. The architecture of the developed radar system can support various waveforms, gain control of receive amplifiers, and allow the selection of two transmit antennas. To do this, we implemented the transceiver using a frequency synthesizer device and a two-step VGA (Variable Gain Amplifier) along with switch-controlled transmit antennas. To support high speed implementation features along with good flexibility, we developed a back-end module based on a FPGA (Field Programmable Gate Array) with a parallel architecture for the real-time data logging of the beat signals received from a multichannel 24 GHz transceiver. To verify the feasibility of the developed radar system, signal processing algorithms were implemented on a host PC. All measurements were carried out in an anechoic chamber to extract a 3D range-Doppler-angle map and target detections. We expect that the developed software-reconfigurable radar system will be useful in various surveillance applications.

Sign in / Sign up

Export Citation Format

Share Document