Name
Abstract | ||
|---|---|---|
Micro-Doppler frequency estimation is an important issue for radar target recognition. In this paper, a novel approach is proposed to accurately estimate the micro-Doppler frequencies of specific target scattering parts, which can be very promising in real-time human sensing applications. For this approach, the adapted linear predictive coding algorithm is first applied to extend the known data in each time window. Then, the Hough transform with a set of new fitting models is used to extract the interested echo components and accurately estimate their micro-Doppler frequencies. Finally, a series of experiments are conducted to illustrate the performance of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2793277 | IEEE ACCESS |
Keywords | Field | DocType |
Doppler radar,micro-Doppler frequency,echo decomposition,Hough transform,linear predictive coding (LPC) | Radar,Doppler radar,Sensing applications,Computer science,Algorithm,Hough transform,Prediction algorithms,Scattering,Doppler frequency,Linear predictive coding,Distributed computing | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yipeng Ding | 1 | 13 | 3.79 |
| Chengxi Lei | 2 | 0 | 0.34 |
| Xuemei Xu | 3 | 1 | 2.07 |
| Kehui Sun | 4 | 8 | 2.13 |
| Ling Wang | 5 | 0 | 2.70 |