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ITERATIVE HOS-SOS (IHOSS) BASED SENSOR LOCALIZATION AND DIRECTION-OF-ARRIVAL ESTIMATION
Date
2010-03-19
Author
Aktas, Metin
Tuncer, Temel Engin
Metadata
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A new method for joint Direction-of-Arrival (DOA) and sensor position estimation is introduced. The proposed method exploits the advantages of both higher-order-statistics (HOS) and second-order-statistics (SOS) with an iterative algorithm. The ambiguity problem in sensor position estimation is solved by observing source signals at least in two different frequencies. These frequencies should satisfy a certain condition which is presented in the paper. A new cost function is defined for the DOA and position estimation. The proposed method works even when the source signals are correlated contrary to the HOS approaches. The performance of the method approaches to the Cramer-Rao bound (CRB) for both DOA and position estimation.
Subject Keywords
Direction-of-Arrival Estimation
,
Sensor localization
,
Higher-order-statistics
URI
https://hdl.handle.net/11511/34360
DOI
https://doi.org/10.1109/icassp.2010.5496267
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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Aktas, Metin; Tuncer, Temel Engin (Institute of Electrical and Electronics Engineers (IEEE), 2010-12-01)
A new method for joint direction-of-arrival (DOA) and sensor position estimation is introduced. The sensors are assumed to be randomly deployed except two reference sensors. The proposed method exploits the advantages of both higher-order-statistics (HOS) and second-order-statistics (SOS) with an iterative algorithm, namely Iterative Higher-Order Second-Order Statistics (IHOSS). A new cumulant matrix estimation technique is proposed for the HOS approach by converting the multisource problem into a single so...
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M. Aktas and T. E. Tuncer, “ITERATIVE HOS-SOS (IHOSS) BASED SENSOR LOCALIZATION AND DIRECTION-OF-ARRIVAL ESTIMATION,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34360.
