Short range continuous wave radar for target detection in various mediums

2014 ◽  
Vol 56 (11) ◽  
pp. 2484-2489
Author(s):  
Tauseef Tauqeer ◽  
Maira Islam ◽  
A. K. Aziz
Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1331
Author(s):  
Massimiliano Pieraccini ◽  
Lapo Miccinesi ◽  
Neda Rojhani

Step-frequency continuous-wave (SFCW) modulation can have a role in the detection of small unmanned aerial vehicles (UAV) at short range (less than 1–2 km). In this paper, the theory of SFCW range detection is reviewed, and a specific method for correcting the possible range shift due to the Doppler effect is devised. The proposed method was tested in a controlled experimental set-up, where a free-falling target (i.e., a corner reflector) was correctly detected by an SFCW radar. This method was finally applied in field for short-range detection of a small UAV.


2016 ◽  
Vol 3 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Deniss Brodņevs ◽  
Igors Smirnovs

Abstract This paper presents a natural experiment of the spectral processing of 4.3 GHz Frequency Modulated Continuous Wave Radar (FMCWR) converted signal. The FMCWR antennas are fixed above a smooth reflective surface. The converted signal spectrum is theoretically calculated and compared with the experimental data.


2016 ◽  
Vol 14 ◽  
pp. 39-46 ◽  
Author(s):  
Thomas J. Mittermaier ◽  
Uwe Siart ◽  
Thomas F. Eibert ◽  
Stefan Bonerz

Abstract. A tracking solution for collision avoidance in industrial machine tools based on short-range millimeter-wave radar Doppler observations is presented. At the core of the tracking algorithm there is an Extended Kalman Filter (EKF) that provides dynamic estimation and localization in real-time. The underlying sensor platform consists of several homodyne continuous wave (CW) radar modules. Based on In-phase-Quadrature (IQ) processing and down-conversion, they provide only Doppler shift information about the observed target. Localization with Doppler shift estimates is a nonlinear problem that needs to be linearized before the linear KF can be applied. The accuracy of state estimation depends highly on the introduced linearization errors, the initialization and the models that represent the true physics as well as the stochastic properties. The important issue of filter consistency is addressed and an initialization procedure based on data fitting and maximum likelihood estimation is suggested. Models for both, measurement and process noise are developed. Tracking results from typical three-dimensional courses of movement at short distances in front of a multi-sensor radar platform are presented.


Author(s):  
Avik Santra ◽  
Raghavendran Vagarappan Ulaganathan ◽  
Thomas Finke ◽  
Ashutosh Baheti ◽  
Dennis Noppeney ◽  
...  

2013 ◽  
Vol 347-350 ◽  
pp. 1087-1090
Author(s):  
Zhi Kuan Zheng ◽  
Qiang He ◽  
Zhuang Zhi Han

In order to solve the contradiction of pulse radar detection range and range resolution, the LFM signal which has a large time-bandwidth product is chosen to be modulated on the transmitter pulse. So that the radar has larger width and higher range resolution. Since the conversion of the transceiver switches, wide LFM signal may cause close range blind spots. Timeshare launching one long and one short signals is traditional solution, but it will cause a lower data rate. A kind of dual-LFM signal based on frequency division multiplexing is presented, the short pulse is used in short-range to offset the lack of wide LFM signal. Through simulation, it is guaranteed that, by using this kind of signal, the radar has a higher resolution regardless of the target distance, and the short-range blind spot also can be eliminated.


2022 ◽  
pp. 482-505
Author(s):  
Alexey Noskov

Open, systematic, and global approaches are needed to address the challenges of aeroconservation and pest management. Recent technical progress enables deeper investigation and understanding of aeroecology. Radar plays a central role in flying species monitoring in the global scope. The technology provides various ways of target detection and tracking, working for multiple ranges and different visibility. The existing technology allows deploying global monitoring of avian and insect species. This work discusses the essentials of the technology and the history of its application for bird and insect detection. The author describes the development of the topic according to the main groups of radar approaches: pulsed sets, vertical-looking solutions, harmonic systems, and efficient frequency modulated continuous wave radar. Advances in big data processing, robotics, computation, and communications enable practitioners to combine the discussed radar solutions aiming at global avian and insect biodiversity monitoring and negative human impact systematic estimation.


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