Multiple Emitter Location and Signal Parameter Estimation RALPH O.SCHMIDT, 1986.3 Abstract Processing the signals received on an array of sensors for the location of the emitter is of great enough interest to have been treated under many special case assumptions. The general problem considers sensors ...
MARCH 1986 Multiple Emitter Location and Signal Parameter Estimation RALPH O. SCHMIDT, MEMBER, IEEE Abstract-Processing the signals received on an array of sensors for the location of the emitter is of great enough interest to have been treated under many special case assumptions. The general probl...
Multiple Emitter Location and Singlan parameter estimationSchmidt, Ralph O
Multiple emitter location and signal parameter estimation Multiple signal classification (MUSIC) techniques involved in determining the parameters of multiple wavefronts arriving at an antenna array are discussed... R Schmidt,RO Schmidt - 《IEEE Transactions on Antennas & Propagation》 ...
Schmidt, R. O. Multiple emitter location and signal parameter estimation.IEEE Trans. Antennas Propag.34, 276–280 (1986). ArticleADSGoogle Scholar Chen, X. & Agarwal, K. MUSIC algorithm for two-dimensional inverse problems with special characteristics of cylinders.IEEE Trans. Antennas Propag.56,...
Multiple Emitter Location and Signals Parameter Estimation [J].IEEE Transactions on Antennas Propag,1986,34(3):276-280. [10]Stein S. Algorithms for Ambiguity Function Processing[J]. IEEE Transactions on Acoustics,Speech,and Signal Pro- cessing,1981,29(3):55-58. [11]Otnes R K. Frequency ...
While the user Unwill undergo SIC phenomenon, it will first decode user Um’s message signal and then cancels the same from the received combined message signal to extract its own intended signal. Thus, the data rate for user Unis calculated as: (2)Rn1=log21+ρhn2αn2. The sum rate,...
most of the research on SH input features for deep learning-based DOA estimation is on FOA signals and features. The aforementioned SELDnet originally used magnitude and phase spectrograms of the FOA signal as the model’s input [6], which was also used as the baseline method in the DCASE...
Signal detection Delay estimation Blind equalizers Blind source separation Higher order statistics MIMO 1. Introduction Deconvolution arises, implicitly or explicitly, in many signal-processing problems, ranging from compression and denoising to system identification. It has particular relevance to broadly appl...
In the 50-mg/kg group, mean is not graphed between 15 and 60 min as blood pressure signal was lost in most mice; all mice have MAP and HR data after 60 min. Responses to drug (during 75–155 min) were compared with baseline (−60 to 0 min) and tested with one-way ANOVA, ...