Yanyun Xu

A Novel Method for Automatic Detection of Trapped Victims by Ultrawideband Radar

Via analyzing the characteristics of life sign, a novel method of life detection based on constant false alarm ratio and clustering is proposed in this paper. The signal to noise and clutter ratio (SNCR) is greatly improved. The nonstatic clutter can be removed effectively. The good performance of the new method is proved numerically and experimentally. The range location and frequency information of life sign can be estimated automatically and accurately in low SNCR environment.

Vital Sign Detection Method Based on Multiple Higher Order Cumulant for Ultrawideband Radar

The research on vital information extraction meets a lot challenges due to the narrow bandwidth and low signal-to-noise ratio of a vital sign in real environment. In this paper, a novel noncontract vital sign detection method based on multiple higher order cumulant is presented. According to the characteristic of vital sign for impulse ultrawideband radar, the quasi-periodic reflected echo in slow-time is analyzed. The novel method is theoretically deduced from fourth-order cumulant. It is proved to be better than the reference fast Fourier transform method by simulation and experiment. By using the new method, the range position and frequency information of life can be extracted accurately and automatically.

Novel detection method and parameters analysis of vital signal for Ultra-Wideband radar

The factors influencing on vital signal detection are discussed by introducing Cramer-Rao Low Bound (CRLB) for Ultra Wideband (UWB) in this paper. The CRLB is described on the basis of the impulse UWB sequential signal module and the Maximum Likelihood rule with Fisher Information Matrix (FIM). A novel detection method based on Multifold High Order Cumulant Fast Fourier Transform (MHOC-FFT) is used to process the simulated noisy signal and to estimate respiratory frequency. Simulated results verify the influence of the key parameters on vital detection. And the novel detection method has high Detectability with the capability to improve SNR and reduce higher harmonics.

Automatic Detection of Multiple Trapped Victims by Ultra-Wideband Radar

Via analyzing the characteristics of life sign, a novel method is proposed to detect multiple trapped victims by ultra-wideband radar in this letter. The signal-to-noise and clutter ratio (SNCR) is greatly improved. The non-static clutter can be removed effectively. The number, range position and respiratory frequency of life signs can be detected automatically and accurately in low SNCR environment. By using experiment and numerical simulation, the good performance of the new method is proved.

Life detection and location by MIMO Ultra wideband radar

The detection of micro-motion of human body such as respiration or heartbeat is an effective way to detect the life trapped in rubble. In this paper, the micro-motion of life is regarded as a moving target which can be detected by life detection algorithm and located by Ultra-wideband (UWB) radar imaging method based on Multiple-Input Multiple-Output (MIMO) system.

A simple strategy for moving target imaging via an experimental UWB through-wall radar

In this paper, a simple and effective procedure for through-wall moving target imaging is introduced and discussed via the UWB-SP radar. The modified Kirchhoff migration algorithm is selected as the imaging method to validate the effectiveness of the proposed detection procedure. Considering that the motion of the target behind wall is irregular and unknown, the model of the target with the “go-stop” motion is adopted in the procedure. Based on this model, a proper background removal strategy without complicated operations is introduced to extract the “go-stop” target signal. As the original imaging results obtained from the modified Kirchhoff migration imaging method are dissatisfactory, an effective imaging processing step is given out.

Through-Wall Shape Estimation Based on UWB-SP Radar

This letter presents a new method for localizing and identifying a target through walls with known wall parameters. A time-delay difference curve (TDDC) is utilized in this method for target localization and identification. The characteristic of the TDDC can be applied to estimate the incident angle and offset the influences in propagation path and propagation time delay brought from the wall. This letter analyzes the method and gives out the theoretical TDDC. Extensive simulations and experiments show the effectiveness of the proposed method.

A new method of through wall moving target detection and imaging using UWB-SP radar

This paper proposes a new algorithm to obtain the target shape imaging and track it synchronously using triangle localization method and the difference of time delay in the application of through wall imaging (TWI). The proposed algorithm based on a system model built in the near field can effectively estimate the velocity and track of moving target with the imaging result. Simulation results show that the effect of the wall can be removed visibly and the purpose of the imaging and tracking of moving target can be realized well.

Experimental Study of UWB Pulse Radar for Life Detection

The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in rubble. Environment parameters and human states have a significantly influence on ultra-wide band (UWB) radar life detection. In this paper, a series of detection scenes are set for life detection. The received signals are processed to analyze the influence of the external factors on life detection.