Podrobná bibliografie
| Název: |
Detection of Flight Target via Multistatic Radar Based on Geosynchronous Orbit Satellite Irradiation. |
| Autoři: |
Dong, Jia, Liu, Peng, Wang, Bingnan, Jin, Yaqiu |
| Zdroj: |
Remote Sensing; Dec2024, Vol. 16 Issue 23, p4582, 21p |
| Témata: |
GEOSTATIONARY satellites, PASSIVE radar, RADAR targets, GEOSYNCHRONOUS orbits, SONAR, BISTATIC radar |
| Abstrakt: |
As a special microwave detection system, multistatic radar has obvious advantages in covert operation, anti-jamming, and anti-stealth due to its configuration of spatial diversity. As a high-orbit irradiation source, a geosynchronous orbit satellite (GEO) has the advantages of a low revisit period, large beam coverage area, and stable power of ground beam compared with traditional passive radar irradiation sources. This paper focuses on the key technologies of flight target detection in multistatic radar based on geosynchronous orbit satellite irradiation with one transmitter and multiple receivers. We carry out the following work: Firstly, we aim to address the problems of low signal-to-noise ratio (SNR) and range cell migration of high-speed cruise targets. The Radon–Fourier transform constant false alarm rate detector-range cell migration correction (RFT-CFAR-RCMC) is adopted to realize the coherent integration of echoes with range cell migration correction (RCM) and Doppler phase compensation. It significantly improves the SNR. Furthermore, we utilize the staggered PRF to solve the ambiguity and obtain multi-view data. Secondly, based on the aforementioned target multi-view detection data, the linear least square (LLS) multistatic positioning method combining bistatic range positioning (BR) and time difference of arrival positioning (TDOA) is used, which constructs the BR and TDOA measurement equations and linearizes by mathematical transformation. The measurement equations are solved by the LLS method, and the target positioning and velocity inversion are realized by the fusion of multistatic data. Finally, using target positioning data as observation values of radar, the Kalman filter (KF) is used to achieve flight trajectory tracking. Numerical simulation verifies the effectiveness of the proposed process. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |