The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a novel noise-robust classification scheme to discriminate one walking person and two walking persons. Non-parametric Bayesian techniques with the Beta process prior are applied to the Principal Component Analysis (PCA) model for the automatic choice of the number of principal components. Noise reduction is accomplished via reconstructing the echo within the subspace composed of the selected...
This paper proposes a new method for the classification problem of turbojet aircraft, prop aircraft and helicopter under the condition of low-resolution radar system. Based on the jet engine modulation (JEM) characteristics of the aircrafts' radar echoes, we use the Empirical Mode Decomposition (EMD) algorithm to extract the three-dimensional micro-Doppler feature vector. Experimental results based...
A new radar high-resolution range profile (HRRP) target recognition method is presented via a multi-task learning truncated stick-breaking hidden Markov model (MTL TSB-HMM) with spectrogram feature of HRRP. Experimental results show this method has good recognition and rejection performance.
Micro-Doppler information contained in the returned echo reflects the special structure of moving vehicles and can be utilized to discriminate wheeled vehicle and tracked vehicle. In this paper, generalized matched filter is employed to suppress clutter and a preprocessing is used to eliminate the influence of bulk velocity for Doppler spectrum firstly. Then features which depict the distinction between...
To deal with the problems of recognition and outlier rejection in radar automatic target recognition (RATR), a novel method based on weighted majority voting combination of multiple classifiers is proposed. In both the rejection and recognition phases, the results of multiple classifiers which employ different features are combined. In the rejection part, the nearest neighbor (NN) classifier with...
Brain-computer interface (BCI) is a new type of man-machine interfaces and one of the key technologies of rehabilitation robot. In this paper, the BCI system structure, working principle and the key technology are discussed. The dummy matrix based on event-related potential P300 is designed, used the stimulation by the character matrix sequence, subjects produced the evoked electroencephalograph (EEG)...
Radar automatic target recognition (ATR) based on multiple high range resolution profiles (HRRPs) is concerned. To relax the target aspect sensitivity and use more statistical information of the HRRPs, in this paper we extract the average range profile and the variance range profile together as the feature vectors for both training data and test data representation. And a decision rule is established...
Small target detection in sea clutter is a challenge problem in radar signal processing community. Based on the analysis of sea clutter Doppler spectrum characteristics, two target detection algorithms are proposed, namely, a Bayesian detection algorithm based on joint Rayleigh distribution model and a feature detection algorithm based on the entropy feature extracted from signal's Doppler spectrum...
Due to the aspect sensitivity of high-resolution range profile (HRRP), traditional radar HRRP target recognition methods usually use average profile within some target-aspect region as the target-aspect template. Actually, the amplitude fluctuation property of target HRRP also represents some feature information of the target. Based on the scattering center model, a new feature extraction method using...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.