Research On Bistatic MIMO Radar System Design And Simulation

Bistatic MIMO radar using Network integration technology and MIMO technology, Not only has the advantage in clutter suppression, parameter identification, Angle estimation, moving target detection, spatial diversity and access to information and so on, and expand the scope of network information fusion,put the data processing level fusion to signal processing level fusion, improve information processing performance of the bistatic radar.On the basis of the characteristics of bistatic MIMO radar system, starting from the full system level, an overview of the overall design scheme and the signal processing. Aiming at some special problems in the process of system design, modeling analysis, the basic conclusion, provide necessary theory basis for the further optimization of the overall performance and simulation. Specific conclusions as described in the following:1. Based on the ideas of a large array, design of three slot array is presented in this paper, process the submatrix division and direction graph calculation verification, optimize the structure of array, reduce the system complexity. and in view of the different of signal in searching and tracking,using the fuzzy function analysis of transmitting performance, put forward the specific principles of parameter design.2. For the specialty of bistatic MIMO radar search process, the search optimization model is established, analyzed the influence factors of resource consumption, use the differences between different search area, design optimization search logical partitions, using multi-objective optimization genetic algorithm to realize the system parameter configuration.3. First use of LCMV adaptive algorithm for interference suppression, and on the basis of the adaptive algorithm for the single pulse distortion, puts forward the improved the adaptive airspace suppression algorithm,it has robust performance.At the same time use one correction processing for the signal frequency spectrum of MIMO radar echo signal after beamforming and matched filtering comprehensive output,effectively inhibit the MIMO radar range sidelobe,from the background of high sidelobe to extract the weak target information.4. Bistatic MIMO radar Angle estimation model is established under the background of White gaussian noise, theoretically analyzed its characteristic of parameter identification, and using dimension reduction CAPON and MUSIC algorithm to realize the joint estimation of sending and receiving Angle;In view of the multipath effect, also set up a corresponding Angle estimation model, the improved maximum likelihood method and generalized MUSIC algorithm effectively direct Angle and emission Angle, further realize multipath attenuation coefficient and Angle of joint estimation, greatly improved the precision of Angle measurement, finally with the help of GDOP analysis the location accuracy. presence of multipath effect...