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Improvement on polynomial Wigner-Ville distribution for detecting higher-order polynomial phase signal 被引量:4

Improvement on polynomial Wigner-Ville distribution for detecting higher-order polynomial phase signal
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摘要 To detect higher order polynomial phase signals (HOPPSs), the smoothed-pseudo polynomial Wigner-Ville distribution (SP-PVCVD), an improved version of the polynomial Wigner-Ville distribution (PVCVD), is presented using a separable kernel. By adjusting the lengths of the functions in the kernel, the balance between resolution retaining and interference suppressing can be adjusted conveniently. The proposed method with merits of interference terms reduction and noise suppression can provide time frequency representation of better readability and more accurate instantaneous frequency (IF) estimation with higher order SP-PVfVD. The performance of the SP-PWVD is verified by computer simulations. To detect higher order polynomial phase signals (HOPPSs), the smoothed-pseudo polynomial Wigner-Ville distribution (SP-PVCVD), an improved version of the polynomial Wigner-Ville distribution (PVCVD), is presented using a separable kernel. By adjusting the lengths of the functions in the kernel, the balance between resolution retaining and interference suppressing can be adjusted conveniently. The proposed method with merits of interference terms reduction and noise suppression can provide time frequency representation of better readability and more accurate instantaneous frequency (IF) estimation with higher order SP-PVfVD. The performance of the SP-PWVD is verified by computer simulations.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第2期234-240,共7页 系统工程与电子技术(英文版)
基金 supported partly by the Program for New Century Excellent Talents in University, Ministry of Education,China(NCET-05-0803) supported by Information Controlling Technology of Communication System National Key Laboratory(9140C1301020801).
关键词 signal processing polynomial Wigner-Ville distribution polynomial phase signal instantaneous frequency estimation signal processing, polynomial Wigner-Ville distribution, polynomial phase signal, instantaneous frequency estimation
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