ABSTRACT Recently there has been an increasing interest in the use of the TDE technique to locate and track acoustic sources in a conferencing environment. Typically, the delay estimate is obtained as the time-lag that maximizes the cross-correlation function between the filtered versions of two received signals. This so-called generalized cross-correlation technique, based on the measurements ...

In this paper we present a neuromimetic approach to bearing estimation issue. The proposed method is based on time-delay neural networks. This kind of network is well suited to take into account constraints encountered in signal processing: it deals with the dynamic nature of signal and discovers acoustic and temporal features. According to the propagation model of plane waves, the network has ...

To find the position of an acoustic source in a room, a set of relative delays among different microphone pairs has to be determined. The generalized cross-correlation method is the most popular to do so and is well explained in a landmark paper by Knapp and Carter. In this technical memorandum, we show how we can take advantage of the redundancy when more than two microphones are available. It...

A new TDE technique using the CPSP function weighed on each band is proposed. Observed and theoretical CPSP spectra are uniformly divided into several bands, and time delay having maximum cross correlation coefficient between observed and theoretical CPSP functions on each band is searched. Then the observed CPSP function is weighted according to the phase linearity on each band. A weighted CPS...

Time delay estimation (TDE) in a reverberant acoustical environment is a very challenging and difficult problem. This paper tackles the problem by exploiting the redundant information provided by multiple microphone sensors. To do so, the multichannel crosscorrelation coefficient (MCCC) is re-derived, in a new way, to connect it to the well-known linear interpolation technique. Some interesting...

We propose here a method to estimate a delay from a time series taking advantage of analysis of random walks with delay. This method is applicable to a time series coming out of a system which is or can be approximated as a linear feedback system with delay and noise. We successfully test the method with a time series generated by discrete Langevin equation with delay. Estimation of delay from ...

Multipath (ML) signals reflected from the surrounding objects of a Global Navigation Satellite Systems (GNSS) receiver lead to a bias in the time-delay estimation of the lineof-sight (LOS) signal. In several cases, this bias is reflected as errors in the pseudo-range estimation of the receiver. In this paper, we derive a tensor-based filtering approach using an antenna array and a compression m...

In this paper, an e cient Weighted Fourier transform and RELAXation based algorithm (referred to as WRELAX) is rst proposed for the well-known time delay estimation problem. WRELAX involves only a sequence of weighted Fourier transforms. Its resolution is much higher than that of the conventional matched lter approach. One disadvantage associated with WRELAX is that it converges slowly when the...

An adaptive algorithm is proposed for time delay estimation between sinusoidal signals received at two spatially separated sensors. The idea is to model the differential delay by an FIR lter whose coe cients are samples of a sine function. The delay estimate is updated directly on a sample-by-sample basis using the least mean square method and its convergence behavior and mean square delay erro...

OFDM communications require extreme linearity of High Power Amplifiers (HPA) to avoid Inter-Carrier Interference (ICI) and subsequent degradation of the BER and Quality of Service (QoS). Amplitude (AM/AM) and Phase (AM/PM) amplifier non-linearities can be compensated in a number of ways. Nevertheless, digital adaptive schemes based on least squares optimization criteria need estimate the delay ...