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脉冲噪声下基于Robust STFT的LFM信号检测与参数估计 被引量:3

Robust STFT-based Detection and Parameter Estimation of LFM Signal in Impulsive Noise
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摘要 针对传统的基于时频的线性调频(LFM)信号检测和参数估计方法在脉冲噪声环境下失效的问题,提出了一种新的对脉冲噪声不敏感的鲁棒短时傅里叶变换(Robust STFT)LFM信号检测和参数估计方法。该方法首先计算含噪声LFM信号的鲁棒短时傅里叶变换,由于鲁棒STFT对脉冲噪声不敏感,时频平面上呈斜线分布的LFM信号的时频特征仍然被保留。基于Radon变换在时频平面上进行直线积分,实现了信号检测和参数估计。仿真结果验证了该方法的有效性。 The conventional time-frequency-based methods for the linear frequency modulated(LFM)signals detection and parameter estimation behave poorly in the impulse noise environment.Based on the robust short-time Fourier transform(STFT),a new method being no sensitive to impulse noises is presented.The robust STFT of the LFM signal corrupted by an impulse noise is calculated.Due to the resilience of the robust STFT to the impulse noise,the oblique line time-frequency features of the LFM signal is preserved.The following signal detection and parameter estimation can be implemented based on the line integral of the Radon transform.The simulation results show the effectiveness of the presented method.
出处 《南京理工大学学报》 EI CAS CSCD 北大核心 2012年第2期328-331,共4页 Journal of Nanjing University of Science and Technology
关键词 线性调频信号 脉冲噪声 鲁棒短时傅里叶变换 RADON变换 参数估计 linear frequency modulated signal impulsive noises robust short-time Fourier transform Radon transform parameter estimation
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