Matrix Pencil Method for Bistatic MIMO Radar with Single Snapshot
Summary :
The conventional covariance matrix technique based subspace methods, such as the 2-D Capon algorithm and computationally efficient ESPRIT-type algorithms, are invalid with a single snapshot in a bistatic MIMO radar. A novel matrix pencil method is proposed for the direction of departures (DODs) and direction of arrivals estimation (DOAs) estimation. The proposed method constructs an enhanced matrix from the direct sampled data, and then utilizes the matrix pencil approach to estimate DOAs and DODs, which are paired automatically. The proposed method is able to provide favorable and unambiguous angle estimation performance with a single snapshot. Simulation results are presented to verify the effectiveness of the proposed method.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E97-C No.2 pp.120-122
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E97.C.120
- Type of Manuscript
- BRIEF PAPER
- Category
- Electromagnetic Theory
Authors
Xianpeng WANG
Harbin Engineering University
Wei WANG
Harbin Engineering University
Dingjie XU
Harbin Engineering University
Junxiang WANG
Harbin Engineering University
Keyword
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Xianpeng WANG, Wei WANG, Dingjie XU, Junxiang WANG, "Matrix Pencil Method for Bistatic MIMO Radar with Single Snapshot" in IEICE TRANSACTIONS on Electronics,
vol. E97-C, no. 2, pp. 120-122, February 2014, doi: 10.1587/transele.E97.C.120.
Abstract: The conventional covariance matrix technique based subspace methods, such as the 2-D Capon algorithm and computationally efficient ESPRIT-type algorithms, are invalid with a single snapshot in a bistatic MIMO radar. A novel matrix pencil method is proposed for the direction of departures (DODs) and direction of arrivals estimation (DOAs) estimation. The proposed method constructs an enhanced matrix from the direct sampled data, and then utilizes the matrix pencil approach to estimate DOAs and DODs, which are paired automatically. The proposed method is able to provide favorable and unambiguous angle estimation performance with a single snapshot. Simulation results are presented to verify the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E97.C.120/_p
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@ARTICLE{e97-c_2_120,
author={Xianpeng WANG, Wei WANG, Dingjie XU, Junxiang WANG, },
journal={IEICE TRANSACTIONS on Electronics},
title={Matrix Pencil Method for Bistatic MIMO Radar with Single Snapshot},
year={2014},
volume={E97-C},
number={2},
pages={120-122},
abstract={The conventional covariance matrix technique based subspace methods, such as the 2-D Capon algorithm and computationally efficient ESPRIT-type algorithms, are invalid with a single snapshot in a bistatic MIMO radar. A novel matrix pencil method is proposed for the direction of departures (DODs) and direction of arrivals estimation (DOAs) estimation. The proposed method constructs an enhanced matrix from the direct sampled data, and then utilizes the matrix pencil approach to estimate DOAs and DODs, which are paired automatically. The proposed method is able to provide favorable and unambiguous angle estimation performance with a single snapshot. Simulation results are presented to verify the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transele.E97.C.120},
ISSN={1745-1353},
month={February},}
Copy
TY - JOUR
TI - Matrix Pencil Method for Bistatic MIMO Radar with Single Snapshot
T2 - IEICE TRANSACTIONS on Electronics
SP - 120
EP - 122
AU - Xianpeng WANG
AU - Wei WANG
AU - Dingjie XU
AU - Junxiang WANG
PY - 2014
DO - 10.1587/transele.E97.C.120
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E97-C
IS - 2
JA - IEICE TRANSACTIONS on Electronics
Y1 - February 2014
AB - The conventional covariance matrix technique based subspace methods, such as the 2-D Capon algorithm and computationally efficient ESPRIT-type algorithms, are invalid with a single snapshot in a bistatic MIMO radar. A novel matrix pencil method is proposed for the direction of departures (DODs) and direction of arrivals estimation (DOAs) estimation. The proposed method constructs an enhanced matrix from the direct sampled data, and then utilizes the matrix pencil approach to estimate DOAs and DODs, which are paired automatically. The proposed method is able to provide favorable and unambiguous angle estimation performance with a single snapshot. Simulation results are presented to verify the effectiveness of the proposed method.
ER -
English
