Research On Beamforming Technique Of Opportunistic Array Radar

Opportunistic array radar is a new high performance radar system,which is tackled the challenge of complicated combat circumstance and multi-object threats,based on the stealth of the platform and digital array technique as design core.This new generation radar system can realize multi-function and multi-modes.Opportunistic array antenna elements can be distributed randomly in available 3D open areas of any platform,which reverses the traditional array configuration.This paper studies the chance theory and the uncertainty of array elements based on a new intelligent optimization algorithm,which are as follows:Firstly,based on the research of opportunistic array radar and its beamforming characteristics,wind driven optimization algorithm is applied to linear opportunistic array radar technique.Linear opportunistic array radar is proposed with constraint of minimum element spacing to restrain the high sidelobe effect.The simulation shows the proposed algorithm which compared with the particle swarm optimization algorithm and the genetic algorithm,has lower sidelobe level and less optimization time.Secondly,this paper studies the circular aperture array beamforming algorithm,and the binary wind driven optimization method for multi-objective optimization problem is presented.According to the signal model,signal orientation function and the beamforming objective function are established,and then a random distribution of array elements in rectangular grids is proposed.The simulation results show the effectiveness and superiority of the proposed algorithm which compared with the multi-objective binary particle swarm optimization algorithm.Finally,due to the weakness of scanning angle and azimuth coverage in linear array and planar array,a circular array beamforming technique is presented.On the basis of uniform single circular and uniform multi circular model,this paper studies a random distribution of array elements in concentric circular arrays,which establishes an objective function to find a trade-off between 3dB main beam width and the sidelobe level.Compared with multi-objective binary particle swarm algorithm,the simulation results show the proposed algorithm can effectively reduce the sidelobe level under the same main lobe width.