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The performance of the Capon beamforming is known to degrade dramatically in the presence of model mismatches, especially when the desired signal is present in the training data. To improve the robustness, the diagonal loading technique was introduced. However, the major drawback is the selection of the diagonal loading level, which is related to the unknown signal powers. Another way to alleviate...
This work systematically analyzes space vector pulse-width modulation (PWM) for a multiphase voltage source inverter (VSI). The instantaneous output voltages of the VSI, which are called space vectors, can be classified according to the switching states of the VSI. By applying the eigen-space decomposition of the system matrix, the n-phase VSI control problem can be solved analytically. This analysis...
This paper purposes an adaptive parameter estimation algorithm which is basis on the decoupled vector control modeling of DFIG. Through designing state observer and selecting a proper Lyapunov function, the parameters of DFIG can be estimated, the simulation and experiment shows the feasibility of this method.
A systematic analysis for the multi-phase voltage source inverter (VSI) is illustrated in this paper. By applying the singular value decomposition, the instantaneous output voltage of VSI can be categorized into two complementary groups with the same magnitude and different sign to each other. The switching strategy for minimum conduction time which yields the maximum linear modulation index is proposed...
Sound source localization is an important feature in robot audition. This work proposes a sound source number and directions estimation method by using the delay information of microphone array. An eigenstructure-based generalized cross correlation method is proposed to estimate time delay between microphones. Upon obtaining the time delay information, the sound source direction and velocity can be...
Sound source localization is an important function in robot audition. The existing works perform sound source localization using static microphone arrays. This work proposes a framework that simultaneously localizes the mobile robot and multiple sound sources using a microphone array on the robot. First, an eigenstructure-based generalized cross correlation method for estimating time delays between...
Sound source localization is an important feature in robot audition. This work proposes an eigenstructure-based generalized cross correlation method for estimating time delay between microphones. From experiments, it shows that this method is more robust as compared with conventional GCC using PHAT weighting. By knowing the delays among microphones, both the sound source location and sound speed can...
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