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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lixiao Zhan Ziyue Tang Zhenbo Zhu |
| Copyright Year | 2012 |
| Abstract | The Doppler frequency spectrum of radar echo for accelerating weak targets is spread heavily, and the traditional moving target detection method is ineffective. In order to detect the accelerating weak targets and estimate their parameters, a novel radar signal processing method based on fractional Fourier transform for surveillance radar is proposed. It can integrate the energy of chirp signal in the slow time domain of the radar echo, and improve the detection probability of accelerating weak targets in the low signal to noise ratio (SNR) background. The proposed method can also be used to estimate the parameters by the discrete scaling transform. Finally, the effect of different factors such as coherent processing interval, fractional order step and SNR on detection performance and parameter estimation precision of the proposed method are analyzed by theoretical derivation and simulation experiments. |
| Starting Page | 470 |
| Ending Page | 476 |
| File Size | 541774 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467348737 |
| DOI | 10.1109/CIT.2012.105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation accelerating weak targets target detection Chirp Surveillance fractional Fourier transform Radar parameter estimation Acceleration Doppler effect surveillance radar Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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