In this paper, we present a novel framework of distributed microphone array for blind source separation (BSS), where stereo microphones or proximately-placed microphone pairs are distributed. Unlike distributing all microphones individually, the time difference of arrival (TDOA) in the paired channels can be robustly estimated without suffering spatial aliasing. Based on it, sound sources are s...

In this manuscript, we formulate the problem of denoising Time Differences of Arrival (TDOAs) in the TDOA space, i.e. the Euclidean space spanned by TDOA measurements. The method consists of pre-processing the TDOAs with the purpose of reducing the measurement noise. The complete set of TDOAs (i.e., TDOAs computed at all microphone pairs) is known to form a redundant set, which lies on a linear...

In this study, we consider the use of seismic sensors for footstep localization in indoor environments. A popular strategy of localization is to use the measured differences in arrival times of source signals at multiple pairs of receivers. In the literature, most algorithms that are based on time differences of arrival (TDOA) assume that the propagation velocity is a constant as a function of ...

Structure from sound can be phrased as the problem of determining the position of a number of microphones and a number of sound sources given only the recorded sounds. In this paper we study minimal structure from sound problems in both TOA (time of arrival) and TDOA (time difference of arrival) settings with collinear constraints on e.g. the microphone positions. Three such minimal cases are a...

The global satellite navigation signal works well in open areas outdoors. However, due to its weakness, it is challenging position continuously and reliably indoors. In this paper, we developed a hybrid system that combines radio signals acoustic achieve decimeter-level positioning Specifically, transmitters are synchronized with different codes. At the same time, our decoding scheme only requi...

One of the main concerns when imaging extended real objects is the capacity of the system to correctly reconstruct the object cross section electric properties. In this paper, the imaging capabilities of an UWB short range system are analyzed, based on the Multifrequency Bi-Focusing Imaging (MFBF) and Time Difference of Arrival (TDOA) techniques, and its capability to reconstruct high contrast ...

It is well known that non-line-of-sight (NLOS) and multipath propagation biases time of arrival (TOA) and Time Difference of Arrival (TDOA) estimates thus reducing accuracy of positioning algorithms. In order to achieve timing error reduction, a high-resolution first arriving path detector from propagation channel estimates is derived based on the minimum variance (MV) estimates and normalized ...

This paper presents a study on source localization using time difference of arrival (TDOA) measurements from static sensors in the presence of random errors in sensor positions. We develop a constrained weighted least squares (CWLS) source localization method which incorporates the relationship between the source position and an auxiliary variable as a constraint. The CWLS source localization i...

Artificial neural network (ANN) is a humanly constructed network which is based on the human brain neural network. BP neutral network (BPNN), as a typical forward ANN, can approximate any nonlinear continuous rational function. In this paper we use the BPNN to modify the Non-Line-of-Sight (NLOS) Time Difference of Arrival (TDOA) measurement value to make it closer to the Line-of-Sight (LOS) mea...