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A BLIND SNR ESTIMATION METHOD FOR RADAR SIGNALS

机译:雷达信号的盲SNR估计方法

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摘要

A blind Signal-to-Noise Ratio (SNR) estimation algorithm is proposed which is based on eigenvalue decomposition of the covariance matrix of received signal and the weighted-average information criterion (WIC). The algorithm can correctly estimate the SNR of linear frequency-modulated (LFM) signal and phase coding signal at low input SNR without prior information of the modulation type and it is insensitive to sample size. Simulation results show the MSE of estimated SNR is less than 0.5 dB for ranging from -10dB to 10dB.
机译:提出了一种基于接收信号的协方差矩阵的特征值分解和加权平均信息标准(WIC)的盲信噪比(SNR)估计算法。该算法可以在低输入SNR处正确估计线性频率调制(LFM)信号和相位编码信号的SNR,而无需先前的调制类型的信息,并且对样本大小不敏感。仿真结果显示,估计SNR的MSE小于-10dB至10dB的0.5dB。

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