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In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.5 pp.1055-1060

- Publication Date
- 2019/05/01

- Publicized
- 2018/11/21

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.2018EBP3210

- Type of Manuscript
- PAPER

- Category
- Wireless Communication Technologies

Liqing SHAN

Tianjin University of Technology

Shexiang MA

Tianjin University of Technology

Xin MENG

Tianjin University of Technology

Long ZHOU

Tianjin University of Technology

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.

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Liqing SHAN, Shexiang MA, Xin MENG, Long ZHOU, "Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 5, pp. 1055-1060, May 2019, doi: 10.1587/transcom.2018EBP3210.

Abstract: In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.

URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3210/_p

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@ARTICLE{e102-b_5_1055,

author={Liqing SHAN, Shexiang MA, Xin MENG, Long ZHOU, },

journal={IEICE TRANSACTIONS on Communications},

title={Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection},

year={2019},

volume={E102-B},

number={5},

pages={1055-1060},

abstract={In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.},

keywords={},

doi={10.1587/transcom.2018EBP3210},

ISSN={1745-1345},

month={May},}

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TY - JOUR

TI - Interference Suppression of Partially Overlapped Signals Using GSVD and Orthogonal Projection

T2 - IEICE TRANSACTIONS on Communications

SP - 1055

EP - 1060

AU - Liqing SHAN

AU - Shexiang MA

AU - Xin MENG

AU - Long ZHOU

PY - 2019

DO - 10.1587/transcom.2018EBP3210

JO - IEICE TRANSACTIONS on Communications

SN - 1745-1345

VL - E102-B

IS - 5

JA - IEICE TRANSACTIONS on Communications

Y1 - May 2019

AB - In order to solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots, the paper introduces a new criterion: maximum expected signal power (MESP) and proposes a novel beamforming algorithm based on generalized singular value decomposition (GSVD) and orthogonal projection. The algorithm employs GSVD to estimate the signal subspace, and adopts orthogonal projection to project the received signal onto the orthogonal subspace of the non-target signal. Then, beamforming technique is used to maximize the output power of the target signal on the basis of MESP. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.

ER -