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...

Many man-made signals encountered in communications exhibit cyclostationarity. By exploiting cyclostationarity, cyclic MUSIC has been shown to be able to separate signals with different cycle frequencies, thus, to be able to perform signal selective direction of-arrival (DOA) estimation. However, as will be shown in this paper, the DOA estimation of cyclic MUSIC is actually biased. We show in t...

The differential microphone array (DMA) becomes more and more popular recently. In this paper, we derive the relationship between the direction-of-arrival (DoA) and DMA’s frequencyindependent beampatterns. The derivation demonstrates that the DoA can be yielded by solving a trigonometric polynomial. Taking the dipoles as a special case of this relationship, we propose three methods to estimate ...

To improve the quality of the mobile reception of DVB-T (Digital Video Broadcasting on Terrestrial networks) signal, the knowledge of the propagation channel characteristics is necessary. In this aim, this paper presents sounding methods and results for the estimation of Direction of Arrival (DoA) of DVB-T signals in mobile receiving configuration. The mobile passive sounder is presented, inclu...

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...

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...

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...

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...

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 ...

cross layer interaction reduce delay, bit error rate (BER) and increase throughput significantly. Impacts of several parameters of soft handoff and beamforming and their cross layer interaction on data performance have been evaluated. Both the cases of perfect and imperfect beamforming have been investigated. Effects of DoA (direction of arrival) estimation error associated with beamforming hav...