CAJ | 학술논문

二次雷达(SSR)能够提供目标的位置信息和身份信息,可以提高一次雷达(PSR)目标识别、威胁评估及跟踪的能力,且一次、二次雷达的数据是同步的.针对SSR和PSR量测数据同步不同维给融合带来的困难,采用扩展非线性量测的最优线性无偏估计(EBLUE)方法对SSR和PSR进行融合,解决了该问题,并较大地提高了融合精度.仿真结果证明了自适应变维的SSR和PSR测量数据融合方法的有效性.
이차뢰체(SSR)능구제공목표적위치신식화신빈신식,가이제고일차뢰체(PSR)목표식별、위협평고급근종적능력,차일차、이차뢰체적수거시동보적.침대SSR화PSR량측수거동보불동유급융합대래적곤난,채용확전비선성량측적최우선성무편고계(EBLUE)방법대SSR화PSR진행융합,해결료해문제,병교대지제고료융합정도.방진결과증명료자괄응변유적SSR화PSR측량수거융합방법적유효성.
By employing the second surveillance radar (SSR), the position and identity information on targets can be determined, which could enhance the capabilities of target identification, threat estimation and target tracking of the primary surveillance radar (PSR), and the data out of PSR and SSR can be synchronous. In view of the data infusion difficulty brought by the measuring data difference between SSR’s and PSR’s, this paper implements data fusion of PSR and SSR using the method of best linear unbiased filtering estimation with expanded nonlinear measuring (EBLUE), thus overcoming the difficulty and boosting the fusion precision greatly. Simulation results show that the fusion method for measuring data from SSR with adaptively variable dimension and radar is of availability.