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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haiyan Shang Penglang Shui Shouhong Zhang |
| Copyright Year | 2006 |
| Description | Author affiliation: Nat. Lab. of Radar Signal Process., Xidian Univ., Xi'an (Haiyan Shang; Penglang Shui; Shouhong Zhang) |
| Abstract | A new energy integration detection scheme is proposed to detect a nonlinear frequency modulate (FIM) embedded in strong complex additive white Gaussian noise (CAWGN). In this scheme, the optimal kernel of Cohen's time-frequency distribution (TFD) is designed to realize local coherent integration of a signal. Thresholding and morphological filtering are used to extract the time-frequency (TF) support region of the signal from the TFD of an observation. Simulated results show that in the strong noise background with low ratios of signal to noise (SNR) the proposed method is effective |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 4446930 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343594 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Time frequency analysis Radar detection Filtering Signal detection Signal to noise ratio Clutter Testing Frequency modulation Kernel Time-Frequency Distribution Morphological filtering Long-duration energy integration |
| Content Type | Text |
| Resource Type | Article |
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