A fast direction of arrival (DOA) estimation method using a real-valued cross-correlation matrix (CCM) of coprime subarrays is proposed. Firstly, real-valued CCM with extended aperture is constructed to obtain the signal subspaces corresponding to the two subarrays. By analysing the relationship between the two subspaces, DOA estimations from the two subarrays are simultaneously obtained with a...

The Direction of Arrival (DOA) is regarded as the best initial sorting parameter for locating enemy radar. The Direction finding (DF) systems are employed for estimating the direction of arrival of radar installation. Among all the techniques Amplitude Comparison Direction Finding (ADF) technique is the simplest. The Amplitude Comparison DF compares amplitude of the signal at multiple receivers...

Recently, Compressive Sensing (CS) has been applied to array signal processing. In theory, Direction-of-Arrival (DOA) estimation based on CS recovery can work well in correlated environments. However, a large number of sensors (i.e., linear measurements) are still needed for CS recovery. To improve on this, we propose a new CS-based DOA estimation method with a recently designed antenna structu...

Phase difference regression (PDR) was widely utilized to estimate Direction-of-Arrival (DOA) for linear arrays because of its high time resolution and high computational efficiency. However, conventional regression methods were seldom reported to estimate DOA using planar arrays. This paper proposes a regression method to derive DOA from all phase differences on all frequencies for a planar arr...

Welcome to the 12th International Symposium on Distributed Objects, Middleware and Applications (DOA 2010), held in Crete, Greece, October 2010. The DOA conference series has become a key forum for presenting and discussing new perspectives and exciting research results. Over the years, DOA topics have included new computing paradigms like Web Services and SOA, cloud computing, virtualization, ...

High-resolution direction-of-arrival (DOA) estimation requires an accurate array response model, which is usually achieved by measuring the response for given directions of the sources and employing interpolation. This paper considers the array response interpolation and DOA estimation by coherently combing parametric modeling and interpolation techniques. The proposed method is to decompose th...

This paper compares the correlation dimension (D2) ,Higuchi fractal dimension (HFD),Katz fractal dimension(KFD)and Sevcik fractal dimension(SFD) approaches in estimating Depth of Anesthesia (DOA) based on of electroencephalogram (EEG). The single-channel EEG data was captured in both ICU and operating room and different anesthetic drugs, including propofol and isoflurane were used. For better a...

This paper addresses the effect of clutter in direction of arrival (DOA) tracking from a passive acoustic sensor station. DOA signal is characterized by non-linearities arising from the measurement model. Strong dynamics combined with signal deterioration such as clutter can cause filters to diverge. A family of Monte Carlo methods known as particle filters has been used in variety of problems ...