LFM信号参数估计的插值FrFT修正算法

Modified interpolation parameters estimator for LFM signals based on FrFT

  • 摘要: 针对线性调频(LFM)信号参数估计插值FrFT算法在信噪比较低时性能下降而且针对不同参数估计性能不稳定的问题,提出了一种修正的插值FrFT算法。首先分析了现有插值FrFT算法问题出现的原因,然后定义了分数阶域量化频率,指出当信噪比较低时,若LFM信号初始频率接近分数阶域量化频率点,插值FrFT算法出现反向补偿的概率增大,性能下降。修正的插值FrFT算法改进了插值方向的判决条件以提高噪声免疫力,并通过频移LFM信号初始频率使其不在分数阶域量化频率点附近。最后,对不同初始频率的LFM信号进行仿真,结果表明,修正的插值FrFT算法提高了LFM信号参数估计精度,性能稳定,而计算量并没有明显增加。

     

    Abstract: Abstract: Considering that the existing interpolation parameters estimator for linear frequency modulation (LFM) signals based on fractional Fourier transform (FrFT) declines in performance, and it is not solid for LFM signals with different parameters, a modified interpolation parameters estimator is investigated. Firstly, the causes of performance reduction in the existing algorithm are analyzed, then we define the discrete frequency in fractional Fourier domain. We find that the existing interpolation parameters estimator will make up a reversed compensation when the initial frequency of LFM signal is near to the discrete frequencies under the condition of low signal to noise ration(SNR). The estimator performance will reduce quickly because of reversed compensation. The modified interpolation estimator employs a new method to determine the sign of compensation to improve the immunity to noise, then in an effort to make performance better, we shift the initial frequency of LFM signal to avoid nearing to discrete frequencies. At last, the simulation results indicate that the modified interpolation estimator do well in parameters estimation and is steady for different LFM signals.

     

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