Algorithmic Analysis In Digital Beamforming

The Digital Beamforming is based on the theory of antenna beamforming. When the advanced digital-signal management method is added in the beamforming , the Digital Beamforming becomes a new technology. This technology make the most of the space message that caught by the array antenna, it can have the capability of super-difference coefficient, low sidelobes, beam scanning, self-calibration and beamforming. This dissertation makes a study of the signal analysis and analyse the algorithms in digital beamforming.First, it expound the basic theory of digital beamforming, the structure of beamforming system and the impact of the every module . Because most of the communication signals have the capability of cyclostationary, in the wireless communication , the cyclostationary can be used in blind beamforming. On studying the frequency of cyclostationary function of noise, it can perform the beamfoming. CAB algorithm and its operation is deduced.At last, it proposes two new algorithms. The Neural Networks can be combined with CAB algorithm. It can enhance the speed of the CAB algorithm. Because of this, it can deal with the signal faster than the other algorithm. At the same time, it proposes the genetic algorithm that can be used in beamforming. The genetic algorithm can find the better result in the whole department. Through the simulation, it can get better result.