Journal
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Volume 24, Issue 1, Pages 26-35Publisher
SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
DOI: 10.1109/JSEE.2013.00004
Keywords
window length selection; quantitative signal-to-noise ratio; instantaneous bandwidth; high-order statistics
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Funding
- National Natural Science Foundation of China [61073133, 61175053, 61272369, 60975019]
- Heilongjiang Postdoctoral Grant [LRB08362]
- Fundamental Research Funds for the Central Universities of China [2011QN027, 2011QN126, 2012QN030, 2011ZD010]
- Science and Technology Planning Project of Dalian City [2011A17GX073, 2010E15SF153]
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An adaptive approach to select analysis window parameters for linear frequency modulated (LFM) signals is proposed to obtain the optimal 3 dB signal-to-noise ratio (SNR) in the short-time Fourier transform (STFT) domain. After analyzing the instantaneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaussian window, high-order statistics is used to select the appropriate window length for STFT and get the optimal SNR with the right time-frequency resolution according to the signal characteristic under a fixed sampling rate. Computer simulations have verified the effectiveness of the new method.
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