Mehmet Burak Guldogan

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In system identification, the Akaike Information Criterion (AIC) is a well known method to balance the model fit against model complexity. Regularization here acts as a price on model complexity. In statistics and machine learning, regular-ization has gained popularity due to modeling methods such as Support Vector Machines (SVM), ridge regression and(More)
—In this paper, we explore the potential of networked microphone arrays for multiple target tracking. Tracking is accomplished by using the direction-of-arrival (DOA) estimates of multiple microphone arrays. Each microphone array obtains the DOA estimates by using the wideband extensions of the multiple signal classification (MUSIC) technique. Based on(More)
A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delay–Doppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delay–Doppler diversity of the multipath components. Clusters of multipath(More)
—In this paper, we present the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple ground targets using a passive acoustic-sensor network. For this purpose, an experimental setup consisting of a network of microphones and a loudspeaker was prepared. Non-cooperative transmissions from a loudspeaker (i.e.(More)
In this paper, we address the problem of multi-target detection and tracking over a network of separately located Doppler-shift measuring sensors. For this challenging problem, we propose to use the probability hypothesis density (PHD) filter and present two implementations of the PHD filter, namely the sequential Monte Carlo PHD (SMC-PHD) and the Gaussian(More)
—It is well-known that the motion of an acoustic source can be estimated from Doppler shift observations. It is however not obvious how to design a sensor network to efficiently deliver the localization service. In this work a rather simplistic motion model is proposed that is aimed at sensor networks with realistic numbers of sensor nodes. It is also(More)
a r t i c l e i n f o a b s t r a c t Keywords: Direction-of-arrival (DOA) Multipath channels Channel estimation Cross-ambiguity function (CAF) Space-alternating generalized expectation–maximization (SAGE) algorithm A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of(More)