Nonhomogeneous Data-Based Direct Position Determination: The RD-DPD-Capon Algorithm

On Efficient Implementation of the Capon Algorithm

We present an efficient implementation of the Amplitude Spectrum Capon (ASC) estimator, denoted the B-ASC estimator. The implementation, which is based on the Burg algorithm and the Fast Fourier Transform (FFT), will be computationally significantly simpler, but will differ somewhat from the classical implementation. We compare the performance of the ASC method, for different implementations, t...

Determination of DPD Model Aiming Biomedical Application

The application of the Metropolis Monte Carlo method to the optimization of the repulsion parameter in Dissipative Particle Dynamics (DPD) simulation of nano-particle coated with dextran particle which is a contrast agent for MR and will be applied as a carrier in Drug Delivery System was discussed. In the method where several molecules are included in one DPD bead, conventional procedure doesn...

Distributed adaptive direct position determination of emitters in sensor networks

In the conventional centralized adaptive direct position determination (C-ADPD) approach, the emitter position is estimated at the fusion center (usually one of the sensors) with all the available signal samples transmitted from different sensors. This centralized framework may be not suitable for large-scale sensor networks due to the computational capability and energy storage bottleneck of t...

On Efficient Implementation of the 2-d Capon Algorithm

We present an efficient implementation of the 2-D Amplitude Spectrum Capon (ASC) estimator, denoted the 2-D BASC estimator. The implementation, which will depend only on the (forward) linear prediction matrices and the (forward) prediction error covariance matrices, can be implemented using the 2-D Fast Fourier Transform. To compute the needed prediction matrices, we make use of a recently prop...

Panel Data estimation using DPD for Ox