Research On Beamforming And Tracking Algorithm Of Smart Antenna

With the continuous development of electronic technology,smart antenna technology is more and more widely used,and digital beamforming is the core and key of smart antenna technology,which has been widely studied and concerned.Digital beamforming algorithm based on traditional antenna beamforming,using digital signal processing algorithms and new technologies implemented by high-speed computing processors,which is widely used in electronic countermeasures,deep space exploration,seismic survey and other fields.It can realize spatial domain filtering by using adaptive signal processing algorithms in the airspace,and has strong anti-interference ability.In this thesis,the robustness of digital beamforming in smart antenna and the tracking of beamforming technology in indoor environment are studied.Firstly,this thesis introduces the basic theory of array antenna,common array model and the basic theory of beamforming,at the same time introduces several classical adaptive beamforming algorithms based on several performance evaluation criteria,and makes simulation analysis and comparison of these algorithms.Secondly,the traditional adaptive beamforming algorithm is extremely sensitive to mismatching of the guidance vector because it contains the desired signal component in the received signal data of the array.Therefore,in order to improve the robustness of the algorithm,this thesis proposes a robust algorithm against the mismatching of the guidance vector and the widening of the zero notch under the minimum variance distortionless response(MVDR)algorithm,which reconstructs the covariance matrix of the interference noise,reestimates the expected guidance vector and imposes the quadratic constraint on the weight.Finally,for the indoor target tracking problem,several positioning algorithms and the classical beam measuring method are introduced respectively.At the same time,the positioning method based on minimum mean square beamforming algorithm and fast time domain FFT ranging is proposed and the simulation is given.In addition to the traditional Kalman filter and extended Kalman filter algorithm,the indoor tracking algorithm is studied based on the extended multi-mode Kalman tracking algorithm and simulated with the extended Kalman filter algorithm.