论文信息 - A quantitative SNR analysis of linear chirps in the continuous-time short-time Fourier transform domain with Gaussian windows

A quantitative SNR analysis of linear chirps in the continuous-time short-time Fourier transform domain with Gaussian windows

We present a quantitative signal-to-noise ratio (SNR) analysis of linear chirps in the continuous-time short-time Fourier transform (STFT) domain using Gaussian windows; the 3 dB SNR definition is used. It is compared with the SNR in the time and the Fourier transform domains. Some numerical examples are shown to illustrate the theory.

Xiang-Gen Xia | Genyuan Wang | Victor C. Chen

[1] Khaled H. Hamed,et al. Time-frequency analysis , 2003 .

[2] A. W. Rihaczek. Principles of high-resolution radar , 1969 .

[3] Shie Qian,et al. Joint time-frequency transform for radar range-Doppler imaging , 1998 .

[4] Xiang-Gen Xia,et al. A quantitative SNR analysis for the pseudo Wigner-Ville distribution , 1999, IEEE Trans. Signal Process..

[5] S. Qian,et al. Joint time-frequency analysis , 1999, IEEE Signal Process. Mag..

[6] L. C. Trintinalia,et al. Joint time-frequency ISAR using adaptive processing , 1997 .

[7] Sergio Barbarossa,et al. Analysis of multicomponent LFM signals by a combined Wigner-Hough transform , 1995, IEEE Trans. Signal Process..

[8] Sergio Barbarossa,et al. Analysis of polynomial-phase signals by the integrated generalized ambiguity function , 1997, IEEE Trans. Signal Process..

[9] Victor C. Chen. Reconstruction of inverse synthetic aperture radar image using adaptive time-frequency wavelet transform , 1995, Defense, Security, and Sensing.

[10] Xiang-Gen Xia,et al. A quantitative analysis of SNR in the short-time Fourier transform domain for multicomponent signals , 1998, IEEE Trans. Signal Process..