针对分布式多输入多输出(MIMO)雷达在同时多区域监视情况下的优化布站问题,文中提出了一种多监视区域偏好可控的MIMO 雷达优化布站算法。首先,建立评价监视性能的性能指标函数,在此基础上,分析偏好信息确定重点监视区域,并确定监视区域预期性能要求;进而,提出基于偏好信息的粒子群优化算法(PSO),对天线布站位置进行优化,获取满足偏好要求的天线布站方案,并根据偏好信息从中挑选布站方案进行布站;最后,通过对多监视区域进行布站仿真,验证了所提布站方法的有效性。

For multiple surveillance regions of optimal embattling problem of distributed multiple-input multiple-output (MIMO) radar at the same time, this paper puts forward a surveillance regional preferences controlled MIMO radar optimal embattling algorithm. First of all, establish the performance index function to evaluate the performance, on this basis, the analysis of preference information to determine the key monitoring area, and determine the surveillance area expected performance requirements; In turn, a particle swarm optimization (PSO)algorithm is put forward based on the preference information to optimize the antenna station location and obtain preference for antenna disposition plan, and according to the preference information to choose cloth station project in the station; Finally, the effectiveness of the proposed method is verified by simulation.

TN958

国家自然科学基金资助项目(61501083,61201276,61301266 ); 中央高校基本科研业务费(ZYGX2015KYQD056,ZYGX2013J012,ZYGX2014J013,ZYGX2014Z005)