Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis

A new distribution that provides high concentration in the time-frequency domain is proposed. It is based on the S-method and multiwindow approach, where different order Hermite functions are employed as multiple windows. The resulting distribution will be referred to as the multiwindow S-method. It preserves favourable properties of the standard S-method, whereas the distribution concentration is improved by using Hermite functions of just a few first orders. The proposed distribution is appropriate for radar signal analysis, as it will be proven by experimental examples.

[1]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[2]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[3]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals , 1992, Proc. IEEE.

[4]  Boualem Boashash,et al.  Multiple window spectrogram and time-frequency distributions , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Ljubisa Stankovic,et al.  A method for time-frequency analysis , 1994, IEEE Trans. Signal Process..

[6]  Richard G. Baraniuk,et al.  Multiple window time-frequency analysis , 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

[7]  Srdjan Stankovic,et al.  About time-variant filtering of speech signals with time-frequency distributions for hands-free telephone systems , 2000, Signal Process..

[8]  Srdjan Stankovic,et al.  Time-varying filtering of speech signals using linear prediction , 2000 .

[9]  Andrey S. Krylov,et al.  Projection Filtering in Image Processing , 2000 .

[10]  Patrick J. Loughlin,et al.  Multiwindow time-varying spectrum with instantaneous bandwidth and frequency constraints , 2001, IEEE Trans. Signal Process..

[11]  Andrey S. Krylov,et al.  Streaming Waveform Data Processing by Hermite Expansion for Text- Independent Speaker Indexing from Continuous Speech , 2002 .

[12]  Hao Ling,et al.  Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .

[14]  Ljubisa Stankovic,et al.  Sar Images Improvements by Using The S-Method , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[15]  I. Bilik,et al.  Radar target classification using doppler signatures of human locomotion models , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Ljubisa Stankovic,et al.  Real-time motion compensation, image formation and image enhancement of moving targets in ISAR and SAR using S-methodbased approach , 2008 .

[17]  Igor Djurovic,et al.  Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments , 2008, J. Frankl. Inst..

[18]  Thayananthan Thayaparan,et al.  Real-Time Motion Compensation , Image Formation and Image Enhancement of Moving Targets in ISAR and SAR Using S-method Based Approach , 2011 .