Name
Abstract | ||
|---|---|---|
The synthetic aperture radar (SAR) image of moving targets will defocus due to the unknown motion parameters. For fast-maneuvering targets, the range cell migration (RCM), Doppler frequency migration and Doppler ambiguity are complex problems. As a result, focusing of fast-maneuvering targets is difficult. In this work, an efficient SAR refocusing algorithm is proposed for fast-maneuvering targets. The proposed algorithm mainly contains three steps. Firstly, the RCM is corrected using sequence reversing, matrix complex multiplication and an improved second-order RCM correction function. Secondly, a 1D scaled Fourier transform is introduced to estimate the remaining chirp rate. Thirdly, a matched filter based on the estimated chirp rate is proposed to focus the maneuvering target in the range-azimuth time domain. The proposed method is computationally efficient because it can be implemented by the fast Fourier transform (FFT), inverse FFT and non-uniform FFT. A new deramp function is proposed to further address the serious problem of Doppler ambiguity. A spurious peak recognition procedure is proposed on the basis of the cross-term analysis. Simulated and real data processing results demonstrate the validity of the proposed target focusing algorithm and spurious peak recognition procedure. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/rs11192214 | REMOTE SENSING |
Keywords | Field | DocType |
complex Doppler ambiguity,fast-maneuvering target refocusing,non-uniform FFT (NUFFT),1D scaled Fourier transform (1D SCFT),synthetic aperture radar (SAR) | Computer vision,Artificial intelligence,Geology | Journal |
Volume | Issue | Citations |
11 | 19 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Wan | 1 | 0 | 2.03 |
| Yu Zhou | 2 | 378 | 66.97 |
| Linrang Zhang | 3 | 43 | 14.30 |
| Zhanye Chen | 4 | 1 | 1.37 |
| Hengli Yu | 5 | 0 | 0.34 |