Title :
Performance estimation of space-time adaptive processing via subband processing in mobile communications
Author :
Kehu Yang ; Yimin Zhang ; Mizuguchi, Y.
Author_Institution :
ATR Adaptive Commun. Res. Lab., Kyoto, Japan
Abstract :
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.
Keywords :
convergence of numerical methods; land mobile radio; mean square error methods; space-time adaptive processing; SSTAP; computation burden; convergence; mean square error; mobile communications; performance degradation; performance estimation; space-time adaptive processing; subband STAP; subband processing; subband signal processing; Adaptive signal processing; Artificial intelligence; Convergence; Degradation; Density functional theory; Equations; Interference; Mean square error methods; Mobile communication; Mobile computing;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
DOI :
10.1109/APS.1999.789587
