UP Paper 1720 US-T-WAT BOTTOM
Reduced-Rank Multi-Antenna Cyclic Wiener Filtering for Interference Cancellation
Zhang,HongECE, NJIT
Haimovich,Alexander ECE, NJIT
Abdi,AliECE, NJIT
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.

Hong Zhang is a Ph.D candidate affiliated with Center for Wireless Communications and Signal Processing Research (CSCSPR) at ECE department of New Jersey Institute of Technology (NJIT), under the guidance of Dr. Ali Abdi. Hong Zhang's research interests include Doppler spread (speed) estimation in mobile fading channel, interference cancellation, reduced rank space time array processing, and cyclostationary signal processing.