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Sparse Signal Recovery for Localization of Coherent Far- and Near-Field Signals
Date
2015-05-19
Author
Elbir, Ahmet M.
Tuncer, Temel Engin
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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 including the supports of the source signals is estimated in spatial domain. The supports of coherent signals are recovered by using convex minimization techniques. It is shown that the proposed approach recovers the signal components of the array output as well as determining the source locations.
Subject Keywords
Direction finding
,
Compressed Sensing
,
Direction-of-arrival estimation
URI
https://hdl.handle.net/11511/54026
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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SOURCE LOCALIZATION WITH SPARSE RECOVERY FOR COHERENT FAR- AND NEAR-FIELD SIGNALS
Elbir, Ahmet M.; Tuncer, Temel Engin (2015-08-12)
In source 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 localization 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 including the...
Far-field DOA estimation and near-field localization for multipath signals
Elbir, Ahmet M.; Tuncer, Temel Engin (2014-09-01)
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 calibr...
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The estimation of direction-of-arrival (DOA) angles of unknown source locations in the presence of mutual coupling (MC) is an important problem in direction finding applications. While smoothing algorithms can be used for uniform linear arrays with multiple array measurements, they cannot be applied for UCAs. Moreover, array covariance matrix is rank-deficient for single snapshot case and this leads to erroneous estimation results. In this paper, single snapshot DOA estimation in the presence of MC is consi...
DIRECTION FINDING AND LOCALIZATION FOR FAR-FIELD SOURCES WITH NEAR-FIELD MULTIPATH REFLECTIONS
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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...
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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...
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A. M. Elbir and T. E. Tuncer, “Sparse Signal Recovery for Localization of Coherent Far- and Near-Field Signals,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54026.
