Far-field DOA estimation and near-field localization for multipath signals

Date

2014-09-01

Author

Elbir, Ahmet M.
Tuncer, Temel Engin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

221
views

0
downloads

In direction finding and localization applications, multipath signals are important sources of error for parameter estimation. When the antenna array receives multipath reflections which are coherent with the far-field line-of-sight signal, estimating the far-and near-field components becomes an important problem. In this paper, a new method is proposed to estimate the direction-of-arrival (DOA) of the far-field source and to localize its near-field multipaths. Far-field source DOA is estimated using calibration of the antenna array. A near-to-far transformation is proposed for the estimation of the near-field source DOA angles. In order to estimate the near-field range parameters, a compressive sensing approach is presented where a dictionary with near-field sources with different ranges is employed. As a result, the proposed method estimates the far-field and near-field source DOAs as well as the range and the signal amplitudes of the near-field sources. This method is evaluated using close-to-real world data generated by a numerical electromagnetic tool, where the array and transmitter are placed in an irregular terrain and array data are generated using full 3-D propagation model. It is shown that unknown source parameters can be estimated effectively showing the potential of the proposed approach in applications involving high-frequency direction finding and indoor localization.

Subject Keywords

Of-Arrival Estimation, Esprit, Recovery, Calibration, Performance, Passive Localization

URI

https://hdl.handle.net/11511/37043

Journal

RADIO SCIENCE

DOI

https://doi.org/10.1002/2014rs005474

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Sparse Signal Recovery for Localization of Coherent Far- and Near-Field Signals Elbir, Ahmet M.; Tuncer, Temel Engin (2015-05-19) In direction finding (DF) and localization applications, coherency among the signals is an important source of error for parameter estimation. In this paper, a method is proposed to solve the DF problem where there are coherently mixed arbitrary number of far-and near-field sources. In order to estimate the direction-of-arrival (DOA) and the range parameters, compressed sensing (CS) approach is presented where a dictionary matrix is constructed with far-and near-field steering vectors. A sparse vector inclu...
DIRECTION FINDING AND LOCALIZATION FOR FAR-FIELD SOURCES WITH NEAR-FIELD MULTIPATH REFLECTIONS Elbir, Ahmet M.; Tuncer, Temel Engin (2015-08-12) Multipath signals are main source of error for parameter estimation in direction finding applications. In this paper, a new method is proposed for the estimation of direction-of-arrivals (DOA) of a far-field source and localization of its near-field multipath reflections in two steps. Firstly, far-field source DOA is estimated using a calibration technique. In the second step, a near-to-far field transformation is presented in order to eliminate the far-field components of the array data and obtain only nea...
Measurement reduction for mutual coupling calibration in DOA estimation Aksoy, Taylan; Tuncer, Temel Engin (2012-05-17) Mutual coupling is an important source of error in antenna arrays that should be compensated for super resolution direction-of-arrival (DOA) algorithms, such as Multiple Signal Classification (MUSIC) algorithm. A crucial step in array calibration is the determination of the mutual coupling coefficients for the antenna array. In this paper, a system theoretic approach is presented for the mutual coupling characterization of antenna arrays. The comprehension and implementation of this approach is simple leadi...
Angle and Position Estimation for Far-Field and Near-Field Multipath Signals Elbir, Ahmet M.; Tuncer, Temel Engin (2014-04-25) In practical applications, multipath is the dominant error source for parameter estimation. In this paper, a far-field source and its near-field multipaths are considered. Far-field source azimuth and elevation angles are estimated using multipath calibration. A near-to-far field transformation is proposed for near-field source localization where azimuth and range parameters are estimated. Proposed method is evaluated using close-to-real world data generated by a commercial numerical electromagnetic tool. I...
2-D DOA estimation in case of unknown mutual coupling for multipath signals Filik, Tansu; Tuncer, Temel Engin (2016-01-01) In this paper, two dimensional (2-D) direction-of-arrival (DOA) estimation problem in case of unknown mutual coupling and multipath signals is investigated for antenna arrays. A new technique is proposed which uses a special array structure consisting of parallel uniform linear array (PULA). PULA structure is complemented with auxiliary antennas in order to have a structured mutual coupling matrix (MCM). MCM has a symmetric banded Toeplitz structure which allows the application of the ESPRIT algorithm for 2...

Citation Formats

A. M. Elbir and T. E. Tuncer, “Far-field DOA estimation and near-field localization for multipath signals,” RADIO SCIENCE, pp. 765–776, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37043.