基于鲍蒂啁啾和离散分数阶傅里叶变换的啁啾信号参数估计新方法

A. Mostayed, Sikyung Kim, S.Z.K. Sajib
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引用次数: 7

摘要

提出了一种新的线性啁啾信号参数估计方法。该方法利用离散分数阶傅立叶变换(DFRFT)和鲍蒂啁啾变换来估计多分量啁啾信号的幅值和相位参数。用DFRFT估计振幅参数,用Chirplet变换估计啁啾率和初始频率。通过蒙特卡罗仿真分析了该方法在不同信噪比下的噪声处理性能。在信噪比低至-10 dB时取得了良好的性能。
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Novel Parameter Estimation Method for Chirp Signals Using Bowtie Chirplet and Discrete Fractional Fourier Transform
A new parameter estimation method for linear chirp signal is proposed. This method utilizes the Discrete Fractional Fourier Transform (DFRFT) along with Bowtie Chirplet Transform to estimate the amplitude and phase parameters of multi-component chirp signals. DFRFT is used for estimating amplitude parameter whereas the chirp rate and initial frequency are estimated using Chirplet Transform. Performance of the proposed method in noise is analyzed by Monte- Carlo simulation for different Signal to Noise Ratio (SNR). Good performance was achieved at SNR as low as -10 dB.
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