Title :
Adaptive antenna arrays using sub-space techniques in a mobile radio environment with flat fading and CCI
Author :
Boccuzzi, J. ; Pillai, S.U. ; Winters, J.H.
Author_Institution :
Cadence Design Syst. Inc., Edison, NJ, USA
Abstract :
We compare the performance of the minimum mean square error (MMSE) and maximum signal to interference plus noise ratio (MSINR) cost functions in a flat fading channel with co-channel interference (CCI). We investigate the reduced rank and full rank weighted sub-space techniques. We observe that using the reduced rank approximation technique on MMSE is equivalent to MRC in a flat fading channel without CCI. For the CCI case we found the full rank weighted sub-space technique applied to MSINR performs best. Through reduced rank approximations of the covariance matrices, the signal sub-space performs well for the MMSE and the noise sub-space performs well for the MSINR. However, the weighted sub-space performance was close to the known rank case and much better than the conventional techniques
Keywords :
adaptive antenna arrays; cellular radio; cochannel interference; covariance matrices; diversity reception; fading channels; least mean squares methods; receiving antennas; π/4-DPSK; BER; CCI; MMSE; MRC; MSINR; adaptive antenna arrays; antenna diversity; cellular system; co-channel interference; cost functions; covariance matrices; flat fading channel; full rank weighted sub-space technique; maximum signal to interference plus noise ratio; minimum mean square error; mobile radio environment; noise sub-space; performance; reduced rank approximation; reduced rank weighted sub-space technique; signal sub-space; sub-space techniques; Adaptive arrays; Antenna arrays; Cost function; Covariance matrix; Fading; Interchannel interference; Mean square error methods; Mobile antennas; Radiofrequency interference; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.778014