Name
Abstract | ||
|---|---|---|
Radar high-resolution range profile (HRRP) has received intensive attention from the radar automatic target recognition (RATR)
community. Usually, since the initial phase of a complex HRRP is strongly sensitive to target position variation, which is
referred to as the initial phase sensitivity in this paper, only the amplitude information in the complex HRRP, called the
real HRRP in this paper, is used for RATR, whereas the phase information is discarded. However, the remaining phase information
except for initial phases in the complex HRRP also contains valuable target discriminant information. This paper proposes
a novel feature extraction method for the complex HRRP. The extracted complex feature vector, referred to as the complex feature
vector with difference phases, contains the difference phase information between range cells but no initial phase information
in the complex HRRP. According to the scattering center model, the physical mechanism of the proposed complex feature vector
is similar to that of the real HRRP, except for reserving some phase information independent of the initial phase in the complex
HRRP. The recognition algorithms, frame-template establishment methods and preprocessing methods used in the real HRRP-based
RATR can also be applied to the proposed complex feature vector-based RATR. Moreover, the components in the complex feature
vector with difference phases approximate to follow Gaussian distribution, which make it simple to perform the statistical
recognition by such complex feature vector. The recognition experiments based on measured data show that the proposed complex
feature vector can obtain better recognition performance than the real HRRP if only the cell interval parameters are properly
selected. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s11432-008-0087-0 | Science in China Series F: Information Sciences |
Keywords | DocType | Volume |
Adaptive Gaussian classifier (AGC),Complex high-resolution range profile (HRRP),Feature extraction,Minimum Euclidean distance classifier,Radar automatic target recognition (RATR) | Journal | 51 |
Issue | ISSN | Citations |
8 | 18622836 | 3 |
PageRank | References | Authors |
0.43 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lan Du | 1 | 272 | 34.83 |
| Hongwei Liu | 2 | 5 | 0.86 |
| Zheng Bao | 3 | 1985 | 155.03 |
| Junying Zhang | 4 | 86 | 7.59 |