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改进的Loran-C同步干扰抑制高效自适应算法
李岩,熊伟,梁青,胡永辉
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(空军工程大学 电讯工程学院,西安 710077;西安邮电学院 电子与信息工程系,西安 7 10061;中国科学院 国家授时中心,西安 710600)
摘要:
针对目前Loran-C系统抑制同步干扰所采用的自适应算法存在运算量大、定位时间长 的缺点,提出了一种改进算法,即BMMax-NLMS算法,并对运算量进行了比较。通过建立Lora n-C信 号模型,运用改进算法对干扰信号进行自适应滤波。仿真结果表明,该算法能够在抑制同步 干扰的同时有效减少运算量。最后,利用实测数据进一步验证了这些结论。
关键词:  Loran-C  同步干扰  自适应滤波算法;BMMax-NLMS算法
DOI:
基金项目:
An Improved High Performance Adaptive Algorithm for Loran-C Synchronous Interference Suppression
LI Yan,XIONG Wei,LIANG Qing,HU Yong-hui
(The Telecommunication Engineering Institute,Air Force Engineering University ,Xi′an 710077,China;Department of Electronics and Information Engineering,Xi′an Institute of Posts and Telecommunications,Xi′an 710061,China;N ational Time Service Center, Chinese Academy of Sciences, Xi′an 710600,China)
Abstract:
The existing adaptive algorithms for the Loran-C system to suppress th e synchronous interference have the disadvantages of tremendous operation and lo ng-time orientation, so, an improved algorithm(BMMax-NLMS) is proposed and the c omputation complexity is compared. Based on Loran-C signal model, the algorithm is used to adaptively filter the interference. The simulation results show that the algorithm can effectively reduce the computation when suppressing the synchr onous interference. Finally, test data confirms these conclusions.
Key words:  Loran-C  synchronous interference  adaptive filter algorithm  block M max normali zed least mean square(BMMax-NLMS)