首页> 外文会议>Computational Intelligence and Industrial Applications, 2009. PACIIA 2009 >Blind source separation in noisy environment and applications in satellite communication anti-jamming
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Blind source separation in noisy environment and applications in satellite communication anti-jamming

机译:嘈杂环境中的盲源分离及其在卫星通信抗干扰中的应用

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Aiming at the problem of satellite communication signal and jamming blind separation in noisy environment, a new method is presented which combined joint approximate diagonalization (JAD) of the fourth order cumulant matrix and post-position wavelet de-noising. The new method has solved the problem that the performance of previous ones become worse at jamming-to-signal-ratio (JSR) exceeded 30 dB when they are used for satellite communication anti-jamming. Bit error ratio (BER) performance simulations are used to provide quantitative evaluations of the efficiency of the method.
机译:针对噪声环境下卫星通信信号和干扰盲分离的问题,提出了一种结合四阶累积量矩阵联合近似对角化(JAD)和后置小波去噪的新方法。该新方法解决了当它们用于卫星通信抗干扰时,在干扰与信号比(JSR)超过30 dB时,前者的性能会变差的问题。误码率(BER)性能仿真用于对方法的效率进行定量评估。

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