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特征空间分解算法分析与仿真

Analysis and Simulation of Eigen-space Decomposition Algorithm
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摘要 卫星导航信号为扩频信号,比接收机热噪声低20~30 dB,极易受到干扰,因此,研究卫星导航系统接收机的抗干扰能力显得极为重要。特征空间算法是一种有效的自适应抗干扰算法,目前广泛应用于抗干扰接收机中。首先建立了阵列信号基本模型,然后介绍了阵列信号特征分解原理,对其性能进行分析,并由计算机仿真证明了该算法的有效性。 The satellite signal is spread-spectrum signal,and the power is 20~30 dB lower than noise ofreceiver,it is jammed easily.Study ofthe the jamming ability of satellite navigation receiver is important.Eigen-space decomposition algorithms is an effective adaptive anti-jamming algorithm.A basic model for array signal is built first.The theorem of array signal eigen-space decomposition is introduced.The performances of algorithms are analyzed.At last,the validity of algorithms is proved by the computer simulation.
出处 《现代电子技术》 2008年第11期10-11,14,共3页 Modern Electronics Technique
基金 军队科研基金资助项目
关键词 特征空间分解 子空间 自适应算法 SNR eigen-space decomposition sub-space;adaptive algorithms SNR
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