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 consider the adaptive detection problem in colored Gaussian noise with unknown persymmetric covariance matrix in a multiple-input-multiple-output (MIMO) radar with spatially dispersed antennas. To this end, a set of secondary data for each transmit-receive pair is assumed to be available. MIMO versions of the persymmetric generalized likelihood ratio test (MIMO-PGLRT) detector and the persymmetric...
We analytically evaluate the impact of a mismatch in the signal steering vector on the detection performance of a constant false alarm rate matched filter (CFAR-MF) in white Gaussian noise with unknown noise power. An infinite-sum expression for the detection probability of the CFAR-MF is derived in the mismatched case where the nominal signal steering vector is not aligned with the actual one. This...
We examine the adaptive detection problem in the presence of colored noise with an unknown covariance matrix, by exploiting a persymmetric structure in the received signal. The persymmetric adaptive matched filter (PS-AMF) is used to address this problem, which can significantly alleviate the requirement of secondary data. In this paper, finite-sum expressions for the probability of false alarm of...
It is a hot topic that an extended Kalman filter (EKF) is used as speed and position observer in sensorless control of permanent magnet synchronous motor (PMSM). However, the choice of the EKF covariance matrices is still an unsolved problem as the EKF is applied in sensorless drives. In this paper, the parameters of the covariance matrices are tuned based on ant colony algorithm (ACA). The simulation...
Estimation of Distribution Algorithms (EDAs) can be viewed as the outcome of the cooperation between evolutionary computation and probabilistic graphical models. In this paper, we review some continuous EDAs based on Gaussian network model and discuss their some known problems briefly. To prevent premature convergence and repair singular covariance matrix, we propose the PCA-EDA algorithm which integrates...
Recently much progress has been made to improve the identifiability of frequency estimation from one snapshot of multidimensional frequency data mixture. However, in the case of multiple snapshots (or multiple trials of experiments), there are few identifiability results available. With multiple data snapshots, most existing algebraic approaches estimate frequencies from the sample covariance matrix...
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.