DoA Estimation with Cell Searching for Mobile Relay Stations with Uniform Circular Array
Sch. of Electr. & Electron. Eng. Coll. of Eng., Chung-Ang Univ., Seoul, South Korea
DOI: 10.1109/PIMRC.2009.5450222 Conference: Proceedings of the IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2009, 13-16 September 2009, Tokyo, Japan
In this paper, a Direction-of-Arrival (DoA) estimation scheme with cell searching is proposed for a mobile relay station (MRS) with uniform circular array (UCA) at handover region. The proposed scheme of cell searching and DoA estimation for the MRS with UCA is robust even when there exist symbol timing offsets (STOs). Compared with the previous scheme, the proposed scheme can reduce computational complexity and processing time for cell searching and DoA estimation. Simulation results are included to verify the performance of the proposed scheme under Mobile WiMAX environment.
Available from: Youssef Khmou
- "Each source is characterized by its frequency, for example it can be narrow- band  or wideband . Due to this diversity, this field of research has attracted more interest due to its usefulness in many applications including radioastronomy  , geolocalization such as Global Positioning System (GPS) , localization of mobile stations , radar and sonar  in both civilian and military applications, underwater acous- tics , medical signal processing and seismology. Most of localization techniques exploit the space-time diversity , some methods are based on time delay, known as Time of Arrival (ToA)  . "
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ABSTRACT: Source localization problem consists of an ensemble of techniques that are used to obtain spatial information of present radiation in given medium of propagation, with a constraint of the antenna geometry and the characteristics of radiating sources. This condition gives multitude of cases to
study, hence several methods were proposed in the literature.
In this paper, a new algorithm for estimating the Direction of Arrival (DoA) of narrowband and far field punctual sources is introduced. By exploiting the spectrum of covariance matrix of received data, the Lorentzian function on spectral matrix to filter the eigenvalues is applied. This filtering process eliminates the eigenvalues belonging to signal subspace. Parameters of Lorentz function are adjusted using first and second statistics of eigenvalues. The algorithm requires the knowledge
of minimum eigenvalue and is performing when the dimension of antenna is relatively large which is confirmed by several Monte Carlo simulations.
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