scholarly journals Extended Kalman Doppler tracking and model determination for multi-sensor short-range radar

2016 ◽  
Vol 14 ◽  
pp. 39-46 ◽  
Author(s):  
Thomas J. Mittermaier ◽  
Uwe Siart ◽  
Thomas F. Eibert ◽  
Stefan Bonerz
Keyword(s):  
Doppler Shift ◽  
Short Range ◽  
Continuous Wave ◽  
Three Dimensional ◽  
Likelihood Estimation ◽  
Wave Radar ◽  
Dynamic Estimation ◽  
Doppler Tracking ◽  
Linearization Errors ◽  
Stochastic Properties

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.

scholarly journals A Doppler Range Compensation for Step-Frequency Continuous-Wave Radar for Detecting Small UAV

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1331
Author(s):  
Massimiliano Pieraccini ◽  
Lapo Miccinesi ◽  
Neda Rojhani
Keyword(s):  
Short Range ◽  
Continuous Wave ◽  
Range Shift ◽  
Specific Method ◽  
Step Frequency ◽  
Wave Radar ◽  
Small Uav ◽  
The Doppler Effect ◽  
Set Up ◽  
Free Falling

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.

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
Keyword(s):  
Target Detection ◽  
Short Range ◽  
Continuous Wave ◽  
Wave Radar

scholarly journals Experimental Proof of the Characteristics of Short-Range FM Radar Converted Signal Spectrum for a Smooth Surface

2016 ◽  
Vol 3 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Deniss Brodņevs ◽  
Igors Smirnovs
Keyword(s):  
Experimental Data ◽  
Short Range ◽  
Smooth Surface ◽  
Natural Experiment ◽  
Continuous Wave ◽  
Signal Spectrum ◽  
Spectral Processing ◽  
Experimental Proof ◽  
Wave Radar ◽  
Converted Signal

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.

Short-range multi-mode continuous-wave radar for vital sign measurement and imaging

2018 ◽  
Author(s):  
Avik Santra ◽  
Raghavendran Vagarappan Ulaganathan ◽  
Thomas Finke ◽  
Ashutosh Baheti ◽  
Dennis Noppeney ◽  
...  
Keyword(s):  
Vital Sign ◽  
Short Range ◽  
Continuous Wave ◽  
Wave Radar ◽  
Vital Sign Measurement ◽  
Multi Mode

The Application of a Kind of New LFM Signal in Quasi-Continuous Wave Radar

2013 ◽  
Vol 347-350 ◽  
pp. 1087-1090
Author(s):  
Zhi Kuan Zheng ◽  
Qiang He ◽  
Zhuang Zhi Han
Keyword(s):  
Short Range ◽  
Continuous Wave ◽  
Short Pulse ◽  
Blind Spot ◽  
Detection Range ◽  
Range Resolution ◽  
Pulse Radar ◽  
Time Bandwidth Product ◽  
Wave Radar ◽  
Close Range

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.

scholarly journals Single-Channel FMCW-Radar-Based Multi-Passenger Occupancy Detection Inside Vehicle

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1472
Author(s):  
Heemang Song ◽  
Hyun-Chool Shin
Keyword(s):  
Continuous Wave ◽  
Single Channel ◽  
Spectral Power ◽  
Likelihood Estimation ◽  
Radar Signal ◽  
Linear Discriminant ◽  
Fmcw Radar ◽  
Time Frequency ◽  
Occupancy Detection ◽  
Wave Radar

In this paper, we provide the results of multi-passenger occupancy detection inside a vehicle obtained using a single-channel frequency-modulated continuous-wave radar. The physiological characteristics of the radar signal are analyzed in a time-frequency spectrum, and features are proposed based on these characteristics for multi-passenger occupancy detection. After clutter removal is applied, the spectral power and Wiener entropy are proposed as features to quantify physiological movements arising from breathing and heartbeat. Using the average means of both the power and Wiener entropy at seats 1 and 2, the feature distributions are expressed, and classification is performed. The multi-passenger occupancy detection performance is evaluated using linear discriminant analysis and maximum likelihood estimation. The results indicate that the proposed power and Wiener entropy are effective features for multi-passenger occupancy detection.

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