This thesis is concerned with array processing for wireless communications.
In particular, cooperation between the transmitter and receiver or between
systems is exploited to further improve the system performance. Based on
this idea, three technical chapters are presented in this thesis.
Initially in Chapter 1, an introduction including array processing, multiple-input multiple-output (MIMO) communication systems and the background
of cognitive radio is presented. In Chapter 2, a novel approach for estimating
the direction-of-departure (DOD) is proposed using the cooperative beamforming. This proposed approach is featured by its simplicity (beam rotation at
the transmitter) and effectiveness (illustrated in terms of channel capacity).
Chapter 3 is concerned with integration of spatio-temporal (ST) processing
into an antenna array transmitter, given a joint transmitter-receiver system
with ST processing at the receiver but spatial-only processing at the transmitter. The transmit ST processing further improves the system performance in
convergence, mean-square error (MSE) and bit error rate (BER). In Chapter
4, a basic system structure for radio coexistence problem is proposed based on
the concept of MIMO cognitive radio. Cooperation between the licensed radio
and the cognitive radio is exploited. Optimisation of the sum channel capacity
is considered as the criterion and it is solved using a multivariable water-filling
algorithm. Finally, Chapter 5 concludes this thesis and gives suggestions for
future work.