CAJ | 학술논문

空时二维GPS接收机抗干扰技术的主要瓶颈是算法的复杂度高、计算量大，研究如何降维是抗干扰处理技术最关键的问题之一。一种基于限制波尔兹曼机的降维方法被提出，使复杂度降低，并与一般的降维方法进行了均方误差（MSE）性能对比，仿真实验验证了该方法的有效性。
공시이유GPS접수궤항간우기술적주요병경시산법적복잡도고、계산량대，연구여하강유시항간우처리기술최관건적문제지일。일충기우한제파이자만궤적강유방법피제출，사복잡도강저，병여일반적강유방법진행료균방오차（MSE）성능대비，방진실험험증료해방법적유효성。
In the study on space-time anti-jam in GPS receiver,dimension-reduced methods become one of the most critical issues because of the great amount of computions.After the model of space-time adaptive filter is offered,A kind of dimension-reduced methods based on Restricted Boltzmann Machine is proposed in this paper. It is compared with some general dimension-reduced methods for Mean Square Error(MSE)performance.The simulation result validates its validity.Good result is achieved when this kind of dimension-reduced method based on restricted boltzmann machine is applied in GPS space-time anti-jam.