Reduced-rank multi-antenna cyclic Wiener filtering for interference cancellation

Authors:
Hong Zhang;Ali Abdi;Alexander Haimovich
Affiliations:
Department of ECE, New Jersey Institute of Technology, Newark, NJ;Department of ECE, New Jersey Institute of Technology, Newark, NJ;Department of ECE, New Jersey Institute of Technology, Newark, NJ
Venue:
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Year:
2006

Citing 2
Cited 1

Blind adaptive FRESH filtering for signal extraction

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A multistage representation of the Wiener filter based on orthogonal projections

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Adaptive-FRESH filters for compensation of cycle-frequency errors

IEEE Transactions on Signal Processing

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Abstract

In this paper, we propose a multi-antenna frequency-shift (FRESH) filter structure which combines the time-dependent cyclic Wiener filter with spatial filtering. The new solution can be applied as a blind technique, which is desired in many applications where training signals are not available. When compared to a traditional space-time adaptive processing (STAP) architecture, our new method shows the capability of providing the same performance, but with a smaller number of antennas. This reduction in the number of array elements is critical for those applications where there are serious limitations on the size of the array, e.g., portable devices. We have also reduced the computational complexity of the multi-antenna FRESH filter, by using the multistage Wiener filter rank reduction technique. Simulation results are provided to demonstrate the usefulness of the proposed interference canceller.