A novel direction of arrival (DOA) estimation method based on data level Multistage Nested Wiener Filters (MSNWF) which is used to adaptive beamforming for subarray signal is proposed in this paper. The subarrays using the same array geometry are used to form a signal whose phase relative to the reference signal is a function of the DOA. The DOA is estimated by computing the phase shift between...

The term smart antenna incorporates all situations in which a system is using an antenna array and the antenna pattern is dynamically adjusted by the system required.Two major issues in smart antennas are Direciton of Arrival (DOA) estimation and beamforming. The Direction of Arrival of all the incoming signals including the interfering signals are estimated using DOA algorithms.Some of the DOA...

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, ...

This work describes a direction of arrival DOA based smart antenna system for GSM The focus lies on the developed antenna array processor that performs real time adaptive beamforming in every GSM frame The smart antenna consists of a uniform linear array with M elements eight transceiver trains and the Adaptive Antenna Array Processor A P The system allows digital beamforming in uplink and in d...

SUMMARY A novel method for automatically creating an optimum direction-of-arrival (DOA) estimation algorithm for a given radio environment using a genetic algorithm (GA) is proposed. DOA estimation algorithms are generally described by parameters and operators. The performance of a DOA estimation algorithm is evaluated using root mean square error (RMSE) through computer simulations. A GA searc...

A novel method to provide high-resolution TwoDimensional Direction of Arrival (2D DOA) estimation employing Artificial Neural Networks (ANNs) is presented in this paper. The observed space is divided into azimuth and elevation sectors. Multilayer Perceptron (MLP) neural networks are employed to detect the presence of a source in a sector while Radial Basis Function (RBF) neural networks are uti...

This paper presents a new technique for location determination using the promising technique of stratospheric platform (SP) flying at altitudes 17-22 km high and a suitable Direction-of-Arrival technique (DOA). The SP system is preferable due to its superior communication performance compared to conventional terrestrial and satellite systems. The proposed technique provides central information ...

This paper introduces a new hybrid of genetic algorithm (GA) and iteration beamspace multiple signal classification (IBMUSIC) suitable for making direction-of-arrival (DOA) in coherent signals. In general, the problem of estimation the DOA in coherent signals is more difficult to solve and conventional DOA estimation methods such as minimum variance distortionless response (MVDR) and multiple s...

An adaptive beamformer that is robust to uncertainty in source direction-of-arrival (DOA) is derived using a Bayesian approach. The DOA is assumed to be a discrete random variable with a known a priori probability density function (pdf) that reflects the level of uncertainty in the source DOA. The resulting beamformer is a weighted sum of minimum variance distortionless response (MVDR) beamform...