Name
Title | ||
|---|---|---|
Radar High-Speed Target Detection Based on the Frequency-Domain Deramp-Keystone Transform |
Abstract | ||
|---|---|---|
In this paper, we propose a coherent detection algorithm for high-speed targets by employing the parametric symmetric autocorrelation function and the frequency-domain deramp-keystone transform (FDDKT). This coherent detection algorithm is an extension of the scaled inverse Fourier transform (SCIFT)-based detection algorithm. However, compared to the SCIFT-based detection algorithm, the proposed coherent detection algorithm can acquire a better antinoise performance and higher peak to sidelobe ratios along the Doppler frequency and the scaled range cell. Simulations and analyses for synthetic models and the real radar data are provided to verify the effectiveness of the proposed coherent detection algorithm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2015.2453996 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
Coherent detection,frequency-domain deramp-keystone transform (FDDKT),parametric symmetric autocorrelation function,scaled inverse Fourier transform (SCIFT) | Continuous-wave radar,Pulse-Doppler radar,Computer vision,Spectral density estimation,Autocorrelation technique,Automatic target recognition,Short-time Fourier transform,Artificial intelligence,Discrete Fourier transform,Fractional Fourier transform,Mathematics | Journal |
Volume | Issue | ISSN |
PP | 99 | 1939-1404 |
Citations | PageRank | References |
13 | 0.53 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jibin Zheng | 1 | 131 | 12.74 |
| Tao Su | 2 | 80 | 5.67 |
| Hongwei Liu | 3 | 376 | 63.93 |
| Guisheng Liao | 4 | 996 | 126.36 |