Abstract
The bistatic configuration with a geosynchronous orbital SAR (GEOSAR) transmitter and unmanned aerial vehicle SAR (UAVSAR) receiver can continuously image in any dangerous and interesting district. In this paper, the new imaging method in the case with the smaller orbital inclination of geosynchronous earth orbit and the steering beam working mode of UAVSAR was mainly studied and analyzed. GEOSAR can be approximately expressed as a static state, and only the receiver provides all the Doppler information. UAVSAR works in the steering beam modes, such as spotlight, sliding spotlight, and TOPS (Terrain Observation by Progressive Scan) mode. The azimuth bandwidth increased by the steering beam causes an aliasing situation in the azimuth frequency domain. To solve this problem, the proposed imaging method corrects the azimuth frequency aliasing using the scaling transform and the bulk azimuth compression. Compared with the traditional imaging method, the simulation validates perfectly the effectiveness of the bistatic imaging algorithm.
Highlights
Geosynchronous synthetic aperture radar (GEOSAR) is suitable for the continuous imaging in the specific partial region within the short revisit period of nearly 24 h [1,2,3]
For the short synthetic aperture time of this bistatic radar, GEOSAR on the small orbital inclination (≤5°) may be approximately considered a static situation, and only the receiver contributes to the all azimuth modulations [4, 5]
The classical bistatic imaging algorithm cannot be employed to carry out this radar echo signal [6,7,8,9]
Summary
Geosynchronous synthetic aperture radar (GEOSAR) is suitable for the continuous imaging in the specific partial region within the short revisit period of nearly 24 h [1,2,3]. The bistatic SAR configuration with a GEOSAR transmitter and unmanned aerial vehicle SAR receiver (GEO-UAV BiSAR) can reduce well the transmitted power and realize the imaging widely in any interesting and dangerous region [2]. It is not considered that the azimuth bandwidth increased by antenna steering causes the aliasing in the azimuth frequency domain [11, 12] To solve this problem, one way is to increase the pulse repetition frequency (PRF). The scaling transform and the bulk azimuth compression are introduced to handle the echoes of GEO-UAV BiSAR in this paper. Y x the correctness and the effectiveness of the proposed imaging algorithm
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