GNSS multi-satellite joint acquisition with interference mitigation using antenna arrays
- DOI
- 10.2991/icismme-15.2015.412How to use a DOI?
- Keywords
- GNSS acquisition; interference mitigation; adaptive filter; antenna array; multi-satellite.
- Abstract
In this letter the antenna array based GNSS signal acquisition is proposed by firstly projecting the input signal vector onto the noise subspace which is orthogonal to interference subspace for strong interferences suppression. Then, considering that the projection matrix is rank-deficient, we propose to apply forward spatial smoothing to decorrelation of the coherent interference-free signal vector and a whitening filter to prewhitening of the spatial colored noise. Then the signal vector is fed to an adaptive multi-satellite acquisition and beamforming processor. This processor simultaneous performs adaptive beamforming and multi-satellite code acquisition by a spatial filter and a local code select filter, while the order of select filter corresponds to the number of satellites searched in a dwell cell. When the desired satellite signal is present in the test cell, the peak weight of the select filter will converge to the local code of the right satellite signal while the weights of the spatial filter will converge to the direction of arrival (DOA) estimation respectively. If not, the spatial weights will converge to zeros and the local select filter weights will be an arbitrary vector which satisfies the additional constraint, then the next cell is tested and the adaptive process is repeated.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Gangqiang Guan AU - Yangbo Huang AU - Baiyu Li AU - Feixue Wang PY - 2015/07 DA - 2015/07 TI - GNSS multi-satellite joint acquisition with interference mitigation using antenna arrays BT - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy PB - Atlantis Press SP - 2000 EP - 2003 SN - 1951-6851 UR - https://doi.org/10.2991/icismme-15.2015.412 DO - 10.2991/icismme-15.2015.412 ID - Guan2015/07 ER -