Wideband Beamforming for Multipath Signals Based on Spatial Smoothing Method
Summary :
In this paper, the spatial smoothing (SS) method is extended to the wideband multipath case. By reordering the array input signal and the weight vector, the corresponding covariance matrix of each subarray can be constructed conveniently. Then, a novel wideband beamforming algorithm, based on the SS method (SS-WB), can be achieved by linearly constrained minimum variance (LCMV). Further improvement of the output signal-to-interference-plus-noise ratio (SINR) for SS-WB can be obtained by removing the desired signal in the observed array data with the reconstruction of covariance matrix, which is denoted as wideband beamformer based on modified SS method (MSS-WB). Both proposed algorithms can reduce the desired signal cancellation due to the super decorrelation ability of SS method and MSS-WB can lead to a significantly improved output SINR. The simulations verify their effectiveness in the multipath environment.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E97-C No.11 pp.1130-1133
- Publication Date
- 2014/11/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E97.C.1130
- Type of Manuscript
- BRIEF PAPER
- Category
- Electromagnetic Theory
Authors
Chengcheng LIU
Zhengzhou Information Science and Technology Institute
Dexiu HU
Zhengzhou Information Science and Technology Institute
Yongjun ZHAO
Zhengzhou Information Science and Technology Institute
Keyword
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Chengcheng LIU, Dexiu HU, Yongjun ZHAO, "Wideband Beamforming for Multipath Signals Based on Spatial Smoothing Method" in IEICE TRANSACTIONS on Electronics,
vol. E97-C, no. 11, pp. 1130-1133, November 2014, doi: 10.1587/transele.E97.C.1130.
Abstract: In this paper, the spatial smoothing (SS) method is extended to the wideband multipath case. By reordering the array input signal and the weight vector, the corresponding covariance matrix of each subarray can be constructed conveniently. Then, a novel wideband beamforming algorithm, based on the SS method (SS-WB), can be achieved by linearly constrained minimum variance (LCMV). Further improvement of the output signal-to-interference-plus-noise ratio (SINR) for SS-WB can be obtained by removing the desired signal in the observed array data with the reconstruction of covariance matrix, which is denoted as wideband beamformer based on modified SS method (MSS-WB). Both proposed algorithms can reduce the desired signal cancellation due to the super decorrelation ability of SS method and MSS-WB can lead to a significantly improved output SINR. The simulations verify their effectiveness in the multipath environment.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E97.C.1130/_p
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@ARTICLE{e97-c_11_1130,
author={Chengcheng LIU, Dexiu HU, Yongjun ZHAO, },
journal={IEICE TRANSACTIONS on Electronics},
title={Wideband Beamforming for Multipath Signals Based on Spatial Smoothing Method},
year={2014},
volume={E97-C},
number={11},
pages={1130-1133},
abstract={In this paper, the spatial smoothing (SS) method is extended to the wideband multipath case. By reordering the array input signal and the weight vector, the corresponding covariance matrix of each subarray can be constructed conveniently. Then, a novel wideband beamforming algorithm, based on the SS method (SS-WB), can be achieved by linearly constrained minimum variance (LCMV). Further improvement of the output signal-to-interference-plus-noise ratio (SINR) for SS-WB can be obtained by removing the desired signal in the observed array data with the reconstruction of covariance matrix, which is denoted as wideband beamformer based on modified SS method (MSS-WB). Both proposed algorithms can reduce the desired signal cancellation due to the super decorrelation ability of SS method and MSS-WB can lead to a significantly improved output SINR. The simulations verify their effectiveness in the multipath environment.},
keywords={},
doi={10.1587/transele.E97.C.1130},
ISSN={1745-1353},
month={November},}
Copy
TY - JOUR
TI - Wideband Beamforming for Multipath Signals Based on Spatial Smoothing Method
T2 - IEICE TRANSACTIONS on Electronics
SP - 1130
EP - 1133
AU - Chengcheng LIU
AU - Dexiu HU
AU - Yongjun ZHAO
PY - 2014
DO - 10.1587/transele.E97.C.1130
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E97-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2014
AB - In this paper, the spatial smoothing (SS) method is extended to the wideband multipath case. By reordering the array input signal and the weight vector, the corresponding covariance matrix of each subarray can be constructed conveniently. Then, a novel wideband beamforming algorithm, based on the SS method (SS-WB), can be achieved by linearly constrained minimum variance (LCMV). Further improvement of the output signal-to-interference-plus-noise ratio (SINR) for SS-WB can be obtained by removing the desired signal in the observed array data with the reconstruction of covariance matrix, which is denoted as wideband beamformer based on modified SS method (MSS-WB). Both proposed algorithms can reduce the desired signal cancellation due to the super decorrelation ability of SS method and MSS-WB can lead to a significantly improved output SINR. The simulations verify their effectiveness in the multipath environment.
ER -
English
