Title :
Hybrid nonlinear moments subspace processing for wireless communication systems using antenna arrays
Author :
Martone, Massimiliano
Author_Institution :
Telecommun. Group, Watkins-Johnson Co., Gaithersburg, MD, USA
fDate :
5/1/1999 12:00:00 AM
Abstract :
It is shown that hybrid nonlinear (HKL) moments matrices can be used to identify a multichannel FIR system. The method outperforms the popular subspace method based on second-order statistics in low SNR and/or correlated noise, and it is fundamentally equivalent in terms of computational complexity. The method is applied to the channel identification problem in a cellular base-station receiver employing antenna arrays
Keywords :
array signal processing; cellular radio; computational complexity; correlation methods; identification; linear antenna arrays; matrix algebra; multipath channels; noise; radio receivers; statistical analysis; transient response; TDMA; antenna arrays; cellular base-station receiver; channel identification; computational complexity; correlated noise; hybrid nonlinear moments matrices; hybrid nonlinear moments subspace processing; low SNR; multichannel FIR system identification; multipath propagation; second-order statistics; subspace method; uniform linear array; wireless communication systems; Antenna arrays; Antennas and propagation; Baseband; Delay; Digital modulation; Finite impulse response filter; Higher order statistics; Receiving antennas; Sensor arrays; Wireless communication;
Journal_Title :
Signal Processing, IEEE Transactions on
