UWB radar echo signal detection based on compressive sensing

2013 ◽  
Author(s):  
Shugao Xia ◽  
Jeffrey Sichina ◽  
Fengshan Liu
Keyword(s):  
Signal Detection ◽  
Compressive Sensing ◽  
Echo Signal ◽  
Uwb Radar ◽  
Radar Echo

scholarly journals Feature Extraction and Reconstruction by Using 2D-VMD Based on Carrier-Free UWB Radar Application in Human Motion Recognition

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1962 ◽  
Author(s):  
Liubing Jiang ◽  
Xiaolong Zhou ◽  
Li Che ◽  
Shuwei Rong ◽  
Hexin Wen
Keyword(s):  
Feature Extraction ◽  
Human Motion ◽  
Echo Signal ◽  
Motion Recognition ◽  
Uwb Radar ◽  
Wave Radar ◽  
Carrier Free ◽  
Different Types ◽  
Radar Echo ◽  
Human Motion Recognition

As the size of the radar hardware platform becomes smaller and smaller, the cost becomes lower and lower. The application of indoor radar-based human motion recognition has become a reality, which can be realized in a low-cost device with simple architecture. Compared with narrow-band radar (such as continuous wave radar, etc.), the human motion echo signal of the carrier-free ultra-wideband (UWB) radar contains more abundant characteristic information of human motion, which is helpful for identifying different types of human motion. In this paper, a novel feature extraction method by two-dimensional variational mode decomposition (2D-VMD) algorithm is proposed. And it is used for extracting the primary features of human motion. The 2D-VMD algorithm is an adaptive non-recursive multiscale decomposition method for nonlinear and nonstationary signals. Firstly, the original 2D radar echo signals are decomposed by the 2D-VMD algorithm to capture several 2D intrinsic mode function (BIMFs) which represent different groups of central frequency components of a certain type of human motion. Secondly, original echo signals are reconstructed according to the several BIMFs, which not only have a certain inhibitory effect on the clutter in the echo signal, but can also further demonstrate that the BIMFs obtained by the 2D-VMD algorithm can represent the original 2D echo signal well. Finally, based on the measured ten different types of UWB radar human motion 2D echo analysis signals, the characteristics of these different types of human motion are extracted and the original echo signal are reconstructed. Then, the three indicators of the PCC, UQI, and PSNR between the original echo signals and extraction/reconstruction 2D signals are analyzed, which illustrate the effectiveness of 2D-VMD algorithm to extract feature of human motion 2D echo signals of the carrier-free UWB radar. Experimental results show that BIMFs by 2D-VMD algorithm can well represent the echo signal characteristics of this type of human motion, which is a very effective tool for human motion radar echo signal feature extraction.

Implement of UWB Radar for Human Life Detection

2012 ◽  
Vol 239-240 ◽  
pp. 348-352 ◽  
Author(s):  
Jian Lou ◽  
Yong Wang
Keyword(s):  
Medical Device ◽  
Simple Structure ◽  
Human Life ◽  
Wide Band ◽  
Ultra Wide Band ◽  
Echo Signal ◽  
Non Invasive ◽  
Uwb Radar ◽  
Radar Echo ◽  
Life Detection

Ultra-Wide Band (UWB) technology is making progressing rapidly, and many meaningful applications based on this technology are under studying. For instance, UWB Radar for Human Life Detection is a promising usage, which is considered as an effective machine to rescue the earthquakes’ victims, detection weapon in anti-terrorism wars, and medical device to detect patients’ life information. In this paper, a non-invasive UWB Life-Detection Radar developed in simple structure is described, and the key mechanism of this system is given, the method of processing the radar echo signal is discussed, finally, the results of the life-detection experiments based on this radar are introduced.

scholarly journals A COMPRESSIVE SENSING SIGNAL DETECTION FOR UWB RADAR

2013 ◽  
Vol 141 ◽  
pp. 479-495 ◽  
Author(s):  
Shugao Xia ◽  
Yuhong Liu ◽  
Jeffrey Sichina ◽  
Fengshan Liu
Keyword(s):  
Signal Detection ◽  
Compressive Sensing ◽  
Uwb Radar

Weak Signal Detection in Underwater Acoustic Based on Time-Series Characteristic

2011 ◽  
Vol 216 ◽  
pp. 548-552
Author(s):  
Hai Ping Wu ◽  
Shi Jian Zhu ◽  
Jing Jun Lou ◽  
Li Yang Yu
Keyword(s):  
Time Series ◽  
Signal Detection ◽  
Matched Filter ◽  
Doppler Frequency ◽  
High Dimensional ◽  
Filter Method ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Underwater Acoustic ◽  
Radar Echo

For limitation of the matched filter method in underwater acoustic detection,a method of underwater acoustic weak signal detection based on time series characteristic quantity is proposed．Chaotic waveforms, which have thumbtack type ambiguity function, is selected as the waveform of active sonar in the situation of High Dynamic Doppler Frequency Shift. According to the change of correlation dimension while chaotic radar echo appears in the chaotic background, chaotic radar echo is checked out by the means of simulation in the situation of high dimensional chaotic background and low dimensional chaotic background．The method proves out in high dimensional chaotic background．

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