Compressed Sensing-Based Range-Doppler Processing Method for Passive Radar
| Autor: | Guo Hejing, Xia Bai, Juan Zhao, Tao Shan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Article Subject Computer Networks and Communications Computer science 02 engineering and technology TK5101-6720 Tracking (particle physics) Passive radar Digital television terrestrial broadcasting symbols.namesake Disk formatting 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Range (statistics) Computer vision Electrical and Electronic Engineering 020301 aerospace & aeronautics business.industry Doppler processing 020206 networking & telecommunications Compressed sensing symbols Telecommunication Artificial intelligence business Doppler effect Information Systems |
| Zdroj: | Wireless Communications and Mobile Computing, Vol 2021 (2021) |
| ISSN: | 1530-8669 |
| DOI: | 10.1155/2021/5570498 |
| Popis: | Passive radar (PR) systems use the existing transmitters of opportunity in the environment to perform tasks such as detection, tracking, and imaging. The classical cross-correlation based methods to obtain the range-Doppler map have the problems of high sidelobe and limited resolution due to the influence of signal bandwidth. In this paper, we propose a novel range-Doppler processing method based on compressed sensing (CS), which performs sparse reconstruction in range and Doppler dimensions to achieve high resolution and reduces sidelobe without excessive computational burden. Results from numerical simulations and experimental measurements recorded with the Chinese standard digital television terrestrial broadcasting (DTTB) based PR show that the proposed method successfully handles the range-Doppler map formatting problem for PR and outperforms the existing CS-based PR processing methods. |
| Databáze: | OpenAIRE |
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