基于LCT域模糊函数的QFM信号参数估计算法性能分析

Performance Analysis of Parameter Estimation Algorithm for QFM Signals Using Ambiguity Function in the Linear Canonical Transform Domain

  • 摘要: 基于线性正则域模糊函数的二次调频信号参数估计算法,探讨了噪声环境下算法的可行性,通过仿真实验分析了算法的信噪比门限,并进一步讨论了算法的优势. 为进一步提高信号的估计精度,提出了乘积性线性正则变换(LCT)域模糊函数来估计二次调频(QFM)信号. 理论分析和仿真实验表明,该算法在低信噪比时也具有良好的估计性能,且随着信噪比的增加,各参数的均方误差越来越接近其Cramer-Rao下界;该算法能一次性估计3个参数,效率高,误差传递小.

     

    Abstract: In order to derive the performance of the ambiguity function in the linear canonical transform (LCT) domain algorithm for parameters estimation of quadratic modulated frequency (QFM) signal, the feasibility of the algorithm in noisy environment was discussed at first and the signal to noise radio (SNR) threshold was analyzed by simulation experiments. The advantages of the algorithm were given out as well. The product ambiguity function in the LCT domain was proposed in order to further improve the estimation precision of the QFM signal. Theory analysis and simulation experiments show that the algorithm has good estimation performance in low SNR. And the mean square error (MSE) of each parameter is more and more close to its Cramer-Rao lower bound with the increase of the SNR. The algorithm can estimate three parameters at one time, so it has high efficiency and small error transmission.

     

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