IEICE TRANSACTIONS on Fundamentals
2-D Direction Finding for Coherent Cyclostationary Signals under Random Array Position Errors
Summary :
This paper considers the problem of finding two-dimensional (2-D) direction of arrivals (DOAs) for coherent cyclostationary signals using a 2-D array with random position errors. To alleviate the performance degradation due to the coherence between the signals of interest (SOIs) and the random perturbation in 2-D array positions, a matrix reconstruction scheme in conjunction with an iterative algorithm is presented to reconstruct the correlation matrices related to the received array data so that the resulting correlation matrices possess the eigenstructures required for finding 2-D DOAs. Then, using the reconstructed matrices, we create a subspace orthogonal to the subspace spanned by the direction vectors of the SOIs. Therefore, the 2-D DOAs of the SOIs can be estimated based on a subspace-fitting concept and the created subspace. Finally, several simulation examples are presented for illustration and comparison.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.8 pp.2165-2174
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.8.2165
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Ju-Hong LEE, Yi-Sheng LIN, "2-D Direction Finding for Coherent Cyclostationary Signals under Random Array Position Errors" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 8, pp. 2165-2174, August 2005, doi: 10.1093/ietfec/e88-a.8.2165.
Abstract: This paper considers the problem of finding two-dimensional (2-D) direction of arrivals (DOAs) for coherent cyclostationary signals using a 2-D array with random position errors. To alleviate the performance degradation due to the coherence between the signals of interest (SOIs) and the random perturbation in 2-D array positions, a matrix reconstruction scheme in conjunction with an iterative algorithm is presented to reconstruct the correlation matrices related to the received array data so that the resulting correlation matrices possess the eigenstructures required for finding 2-D DOAs. Then, using the reconstructed matrices, we create a subspace orthogonal to the subspace spanned by the direction vectors of the SOIs. Therefore, the 2-D DOAs of the SOIs can be estimated based on a subspace-fitting concept and the created subspace. Finally, several simulation examples are presented for illustration and comparison.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.8.2165/_p
Copy
@ARTICLE{e88-a_8_2165,
author={Ju-Hong LEE, Yi-Sheng LIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={2-D Direction Finding for Coherent Cyclostationary Signals under Random Array Position Errors},
year={2005},
volume={E88-A},
number={8},
pages={2165-2174},
abstract={This paper considers the problem of finding two-dimensional (2-D) direction of arrivals (DOAs) for coherent cyclostationary signals using a 2-D array with random position errors. To alleviate the performance degradation due to the coherence between the signals of interest (SOIs) and the random perturbation in 2-D array positions, a matrix reconstruction scheme in conjunction with an iterative algorithm is presented to reconstruct the correlation matrices related to the received array data so that the resulting correlation matrices possess the eigenstructures required for finding 2-D DOAs. Then, using the reconstructed matrices, we create a subspace orthogonal to the subspace spanned by the direction vectors of the SOIs. Therefore, the 2-D DOAs of the SOIs can be estimated based on a subspace-fitting concept and the created subspace. Finally, several simulation examples are presented for illustration and comparison.},
keywords={},
doi={10.1093/ietfec/e88-a.8.2165},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - 2-D Direction Finding for Coherent Cyclostationary Signals under Random Array Position Errors
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2165
EP - 2174
AU - Ju-Hong LEE
AU - Yi-Sheng LIN
PY - 2005
DO - 10.1093/ietfec/e88-a.8.2165
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2005
AB - This paper considers the problem of finding two-dimensional (2-D) direction of arrivals (DOAs) for coherent cyclostationary signals using a 2-D array with random position errors. To alleviate the performance degradation due to the coherence between the signals of interest (SOIs) and the random perturbation in 2-D array positions, a matrix reconstruction scheme in conjunction with an iterative algorithm is presented to reconstruct the correlation matrices related to the received array data so that the resulting correlation matrices possess the eigenstructures required for finding 2-D DOAs. Then, using the reconstructed matrices, we create a subspace orthogonal to the subspace spanned by the direction vectors of the SOIs. Therefore, the 2-D DOAs of the SOIs can be estimated based on a subspace-fitting concept and the created subspace. Finally, several simulation examples are presented for illustration and comparison.
ER -
English
