الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
In this thesis, a new direct data domain genetic algorithm (D3GA) approach to adaptive processing is proposed. Basically, the main advantage of the proposed new technique is reducing the array beam pattern side lobes level. In addition, the proposed approach processes the data on snapshot by snapshot basis without constructing a covariance matrix and hence it could handle nonstationary environments and coherent interferers. The other objectives of the proposed approach include steering the pattern main lobe to the direction of the signal of interest (SOI), steering pattern nulls to the directions of jammers and interferers, and forcing the pattern nulls’ depths to be proportional to the incident undesired signals’ strengths.
A new multiple beams D3GA (MBD3GA) approach to adaptive processing is proposed in order to handle multiple SOIs simultaneously. In addition, a new wideband D3GA (WD3GA) approach to adaptive processing is proposed in order to handle wideband signals. Finally, a new fast direct data domain genetic algorithm (FD3GA) approach to adaptive processing is presented. In addition, the FD3GA is extended to a new fast multiple beams direct data domain genetic algorithm (FMBD3GA) approach to adaptive processing. These new fast approaches succeed to significantly reduce the required number of computations.