scholarly journals Detection of Low RCS Supersonic Flying Targets with a High-Resolution MMW Radar

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3284
Author(s):  
Nezah Balal ◽  
Yael Balal ◽  
Yair Richter ◽  
Yosef Pinhasi
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Continuous Wave ◽  
Sampling Rate ◽  
Millimeter Wave Radar ◽  
Small Antennas ◽  
Extremely High Frequency ◽  
Movement Characteristics ◽  
Wave Radar ◽  
Very High

In this study, the detection of a low radar cross-section (RCS) target moving at a very high speed using a high-resolution millimeter-wave radar is presented. This real-time detection is based on the transmission of a continuous wave and heterodyning of the received signal reflected from the moving target. This type of detection enables one to extract the object’s movement characteristics, such as velocity and position, while in motion and also to extract its physical characteristics. In this paper, we describe the detection of a fired bullet using a radar operating at an extremely high-frequency band. This allowed us to employ a low sampling rate which enabled the use of inexpensive and straightforward equipment, including the use of small antennas that allow velocity detection at high resolution and with low atmospheric absorption.

scholarly journals High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Xiufeng Li ◽  
Victor T C Tsang ◽  
Lei Kang ◽  
Yan Zhang ◽  
Terence T W Wong
Keyword(s):  
High Resolution ◽  
High Speed ◽  
High Performance ◽  
Continuous Wave ◽  
Signal To Noise Ratio ◽  
Cost Effective ◽  
High Signal ◽  
Photoacoustic Microscopy ◽  
Mouse Ear

AbstractLaser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy (PAM). However, the spatial resolution and/or imaging speed of previously reported LD-based PAM systems have not been optimized simultaneously. In this paper, we developed a high-speed and high-resolution LD-based PAM system using a continuous wave LD, operating at a pulsed mode, with a repetition rate of 30 kHz, as an excitation source. A hybrid scanning mechanism that synchronizes a one-dimensional galvanometer mirror and a two-dimensional motorized stage is applied to achieve a fast imaging capability without signal averaging due to the high signal-to-noise ratio. By optimizing the optical system, a high lateral resolution of 4.8 μm has been achieved. In vivo microvasculature imaging of a mouse ear has been demonstrated to show the high performance of our LD-based PAM system.

scholarly journals Remote Monitoring of Human Vital Signs Based on 77-GHz mm-Wave FMCW Radar

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2999 ◽  
Author(s):  
Yong Wang ◽  
Wen Wang ◽  
Mu Zhou ◽  
Aihu Ren ◽  
Zengshan Tian
Keyword(s):  
Millimeter Wave ◽  
Human Body ◽  
Continuous Wave ◽  
Intermediate Frequency ◽  
Detection Methods ◽  
Discrete Wavelet ◽  
Phase Information ◽  
Millimeter Wave Radar ◽  
Wave Radar ◽  
Radar Sensing

In recent years, non-contact radar detection technology has been able to achieve long-term and long-range detection for the breathing and heartbeat signals. Compared with contact-based detection methods, it brings a more comfortable and a faster experience to the human body, and it has gradually received attention in the field of radar sensing. Therefore, this paper extends the application of millimeter-wave radar to the field of health care. The millimeter-wave radar first transmits the frequency-modulated continuous wave (FMCW) and collects the echo signals of the human body. Then, the phase information of the intermediate frequency (IF) signals including the breathing and heartbeat signals are extracted, and the Direct Current (DC) offset of the phase information is corrected using the circle center dynamic tracking algorithm. The extended differential and cross-multiply (DACM) is further applied for phase unwrapping. We propose two algorithms, namely the compressive sensing based on orthogonal matching pursuit (CS-OMP) algorithm and rigrsure adaptive soft threshold noise reduction based on discrete wavelet transform (RA-DWT) algorithm, to separate and reconstruct the breathing and heartbeat signals. Then, a frequency-domain fast Fourier transform and a time-domain autocorrelation estimation algorithm are proposed to calculate the respiratory and heartbeat rates. The proposed algorithms are compared with the contact-based detection ones. The results demonstrate that the proposed algorithms effectively suppress the noise and harmonic interference, and the accuracies of the proposed algorithms for both respiratory rate and heartbeat rate reach about 93%.

scholarly journals Time-Frequency Spectral Signature of Limb Movements and Height Estimation Using Micro-Doppler Millimeter-Wave Radar

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4660
Author(s):  
Yael Balal ◽  
Nezah Balal ◽  
Yair Richter ◽  
Yosef Pinhasi
Keyword(s):  
Millimeter Wave ◽  
Continuous Wave ◽  
Animal Movement ◽  
Doppler Frequency ◽  
Spectral Signature ◽  
Millimeter Wave Radar ◽  
Time Frequency ◽  
Structure And Motion ◽  
W Band ◽  
Wave Radar

We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target to obtain micro-Doppler shifts associated with the target structure and motion. The algorithm enabled the extraction of target signatures from typical gestures and differentiated between humans, animals, and other ‘still’ objects. Analytical expressions were derived using a pendulum model to characterize the micro-Doppler frequency shifts due to the periodic motion of the human and animal limbs. The algorithm was demonstrated using millimeter-wave radar operating in the W-band. We employed a time–frequency distribution to analyze the detected signal and classify the type of targets.

Focused ISAR Images of Maritime Targets using a High Resolution LFMCW Millimeter-wave Radar

2006 ◽  
Author(s):  
J.M. Munoz-Ferreras ◽  
F. Perez-Martinez ◽  
J. Calvo-Gallego ◽  
A. Blanco-del-Campo ◽  
A. Asensio-Lopez ◽  
...  
Keyword(s):  
High Resolution ◽  
Millimeter Wave ◽  
Millimeter Wave Radar ◽  
Wave Radar

scholarly journals A 1000 Mhz Low Power and High Speed 8-Bit Flash ADC Architecture using 90nm Cmos Technology

2019 ◽  
Vol 8 (11S) ◽  
pp. 11-19
Keyword(s):  
Comparative Analysis ◽  
High Resolution ◽  
Low Power ◽  
Time Domain ◽  
High Speed ◽  
Sampling Rate ◽  
Cmos Technology ◽  
Digital Converter ◽  
Flash Adc ◽  
Analog To Digital

The design objective is to implement a Low power, High speed and High resolution Flash ADC with increased sampling rate. To make this possible the blocks of ADC are analyzed. The resistive ladder, comparator block, encoder block are the major modules of flash ADC. Firstly, the comparator block is designed so that it consumes low power. A NMOS latch based, PMOS LATCH based and a Strong ARM Latch based comparators were designed separately. A comparative analysis is made with the comparator designs. Comparators in the design is reduced to half by using time domain interpolation. Then a reference subtraction block is designed to generate the subtraction value of voltages easily and its given as input to comparator. Then a more efficient and low power consuming fat tree encoder is designed. Once all the blocks were ready, a 8 bit Flash Analog to Digital Converter was designed using 90nm CMOS technology and all the parameters such as sampling rate, power consumption, resolution were obtained and compared with other works.

scholarly journals Railway Track Recognition Based on Radar Cross-Section Statistical Characterization Using mmWave Radar

2022 ◽  
Vol 14 (2) ◽  
pp. 294
Author(s):  
Shuo Li ◽  
Jieqiong Ding ◽  
Weirong Liu ◽  
Heng Li ◽  
Feng Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Continuous Wave ◽  
Great Influence ◽  
Railway Track ◽  
Support Vector ◽  
Data Set ◽  
Statistical Characterization ◽  
Wave Radar ◽  
Track Surface

The track settlement has a great influence on the safe operation of high-speed trains. The existing track settlement measurement approach requires sophisticated or expensive equipments, and the real-time performance is limited. To address the issue, an ultra-high resolution track settlement detection method is proposed by using millimeter wave radar based on frequency modulated continuous wave (FMCW). Firstly, by constructing the RCS statistical feature data set of multiple objects in the track settlement measurement environment, a directed acyclic graph-support vector machine (DAG-SVM) based method is designed to solve the problem of track recognition in multi-object scenes. Then, the adaptive chirp-z-transform (ACZT) algorithm is used to estimate the distance between the radar and the track surface, which realizes automatic real-time track settlement detection. An experimental platform has been constructed to verify the effectiveness of the proposed method. The experimental results show that the accuracy of track classification and identification is at least 95%, and the accuracy of track settlement measurement exceeds 0.5 mm, which completely meets the accuracy requirements of the railway system.

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