Cross-term elimination in Wigner distribution based on 2D signal processing techniques

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• 作者：Nabeel Ali Khan ; Imtiaz Ahmad Taj ; M. Noman Jaffri ; Salman Ijaz
• 关键词：Wigner distribution (WD) ; Fractional Fourier transform (FrFT) ; Gabor transform (GT) ; Time– ; frequency (t– ; f) analysis ; Cross term suppression ; Connected component segmentation ; Support vector machines (SVM)
• 刊名：Signal Processing
• 出版年：2011
• 出版时间：March 2011
• 年：2011
• 卷：91
• 期：3
• 页码：590-599
• 全文大小：853 K

文摘

An efficient method based on 2D signal processing techniques and fractional Fourier transform is presented to suppress interference terms of Wigner distribution (WD). The proposed technique computes Gabor transform (GT) of a multi-component signal to obtain a blurred time–frequency (t–f) image. Signal components in GT image are segmented using connected component segmentation and are filtered out using precise application of fractional Fourier transform. A crisp t–f representation is then obtained by computing the sum of products of WD and GT of the isolated signal components. The efficacy of the proposed technique is demonstrated using examples of synthetic signals and real-life bat signals. Proposed scheme gives satisfactory performance even when cross-terms of WD overlap auto-terms and computational cost analysis shows that it is more efficient than recent interference suppression techniques of comparable performance. Moreover, the proposed technique does not require any prior info regarding the nature of signal.