HRRP Reconstruction of Sub-Nyquist Sampled Chirp Signals with CS-based Dechirping
| Title | HRRP Reconstruction of Sub-Nyquist Sampled Chirp Signals with CS-based Dechirping |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Gu, Zhaoyu, Wang, Wei, Wang, Guoyu |
| Conference Name | Proceedings of the 8th International Conference on Signal Processing Systems |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4790-7 |
| Keywords | Chirp signals, composability, compressive sampling, CS-based dechirping, HRRP reconstruction, privacy, pubcrawl, Resiliency, Sub-Nyquist |
| Abstract | Benefiting bythe large time-bandwidth product, chirp signals arefrequentlyadopted in modern radars. In this paper, the influence on thehigh-resolution range profile (HRRP) reconstruction of chirp waveform after sub-Nyquist sampling is investigated, where the (compressive sensing) CS-based dechirpingalgorithms are applied to achieve the range compression of the sub-Nyquist sampled chirp signals. The conditions that the HRRP can be recovered from the sub-Nyquist sampled chirp signals via CS-based dechirping are addressed. The simulated echoes, formed by the sub-Nyquist sampled chirp signals and scattered by moving targets, are collected by radars to yieldthe high-resolution range profile (HRRP) which validate the correctness of the analyses. |
| URL | http://doi.acm.org/10.1145/3015166.3015195 |
| DOI | 10.1145/3015166.3015195 |
| Citation Key | gu_hrrp_2016 |