Performance estimation of space-time adaptive processing via subband processing in mobile communications

It is known that the main limitations of space time adaptive processing (STAP) are due to its huge computation burden and the performance degradation because of slow convergence The developments of subband signal processing enable us to solve the STAP problem with fast convergence. This paper compares the mean square error between STAP and subband STAP (SSTAP) and makes clear the condition for STAP and SSTAP to be equivalent.

[1]  Truong Q. Nguyen.  Near-perfect-reconstruction pseudo-QMF banks , 1994, IEEE Trans. Signal Process..

[2]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  Moeness G. Amin,et al.  Performance analysis of subband adaptive arrays in multipath propagation environment , 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).

[4]  Yi Min Zhang,et al.  Subband Space-Time Adaptive Processing for Mobile Communications , 1998 .

[5]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[6]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[7]  Ryuji Kohno.  Spatial and temporal communication theory using adaptive antenna array , 1998, IEEE Wirel. Commun..