A Generalised Sidelobe Canceller Employing Two-Dimensional Frequency Invariant Filters
A Generalised Sidelobe Canceller Employing Two-Dimensional Frequency Invariant Filters
Based on the generalised sidelobe canceller (GSC), in this paper we propose a novel broadband adaptive beamformer, where the quiescent vector and blocking matrix are replaced by a series of two-dimensional frequency invariant filters (FIFs). A beam pointing towards the signal of interest takes the role of the quiescent vector, whereas the blocking matrix is formed by a number of beams covering the remaining space, with a zero response towards the signal of interest. As opposed to standard beamspace techniques, the FIFs are flexible in their number and are not required to posses a very low sidelobe level. Compared with a standard GSC, a faster convergence speed and lower computational complexity for the adaptive part can be achieved due to a shorter adaptive filter length.
2339-2343
Liu, W
622f6d44-225b-4d4e-9ed9-839e234e7163
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
2005
Liu, W
622f6d44-225b-4d4e-9ed9-839e234e7163
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, W, Weiss, S and Hanzo, L
(2005)
A Generalised Sidelobe Canceller Employing Two-Dimensional Frequency Invariant Filters.
IEEE Transactions on Antennas and Propagation, .
Abstract
Based on the generalised sidelobe canceller (GSC), in this paper we propose a novel broadband adaptive beamformer, where the quiescent vector and blocking matrix are replaced by a series of two-dimensional frequency invariant filters (FIFs). A beam pointing towards the signal of interest takes the role of the quiescent vector, whereas the blocking matrix is formed by a number of beams covering the remaining space, with a zero response towards the signal of interest. As opposed to standard beamspace techniques, the FIFs are flexible in their number and are not required to posses a very low sidelobe level. Compared with a standard GSC, a faster convergence speed and lower computational complexity for the adaptive part can be achieved due to a shorter adaptive filter length.
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wl-sw1-lh-july05-tap.pdf
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Published date: 2005
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 260405
URI: http://eprints.soton.ac.uk/id/eprint/260405
PURE UUID: b2c0f778-bf6d-4794-b406-ec2a4c63713a
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Date deposited: 28 Jan 2005
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
W Liu
Author:
S Weiss
Author:
L Hanzo
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