Time delay estimation and signal reconstruction using multi-rate measurements
نویسندگان
چکیده
This paper considers the problem of fusing two low-rate sensors (e.g., microphones) for reconstructing one highresolution signal when time delay of arrival (TDOA) is present as well. We show that under certain conditions the phase of the cross-spectrum-density of lowrate measurements becomes independent of the signal in the high-rate front end of the system. We then utilize this fact to demonstrate that it is possible to extend a class of TDOA estimation techniques known as the generalized cross correlation technique to linear-phase multi-rate sensor systems. Finally, we illustrate how the combination of the theory of linear-phase multirate filter banks and TDOA estimation can result in a practical, multi-sensor signal reconstruction system.
منابع مشابه
Estimation of harmonic interference parameters of surface-NMR signal using an adaptive method and residual signal power
Surface nuclear magnetic resonance (surface-NMR) method is a well-known tool for determining the water-bearing layers and subsurface resistivity structure. Harmonic interference is an inevitable interference in surface-NMR measurements. Accurate estimation of harmonic interference parameters (i.e., fundamental frequency, phase and amplitude) leads to better retrieval of power-line harmonics and...
متن کاملMulti-Area State Estimation Based on PMU Measurements in Distribution Networks
State estimation in the energy management center of active distribution networks has attracted many attentions. Considering an increase in complexity and real-time management of active distribution networks and knowing the network information at each time instant are necessary. This article presents a two-step multi-area state estimation method in balanced active distribution networks. The prop...
متن کاملMarkovian Delay Prediction-Based Control of Networked Systems
A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...
متن کاملGridless Quadrature Compressive Sampling with Interpolated Array Technique
Abstract—Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling scheme for acquiring in-phase and quadrature (I/Q) components in radar. In this scheme, the received intermediate frequency (IF) signals are expressed as a linear combination of time-delayed and scaled replicas of the transmitted waveforms. For sparse IF signals on discrete grids of time-delay space, the QuadCS can effi...
متن کاملA Novel Sampling Approach in GNSS-RO Receivers with Open Loop Tracking Method
Propagation of radio occultation (RO) signals through the lower troposphere results in high phase acceleration and low signal to noise ratio signal. The excess Doppler estimation accuracy in lower troposphere is very important in receiving RO signals which can be estimated by sliding window spectral analysis. To do this, various frequency estimation methods such as MUSIC and ESPRIT can be adopt...
متن کامل