Multi-aperture synthetic aperture radar (SAR) systems enable high performance SAR imaging thus meeting the rising demands of future remote sensing applications that conventional SAR cannot fulfill. To provide constant performance even in case of a non-uniformly sampled data array in azimuth caused by a non-optimum pulse repetition frequency (PRF), an appropriate coherent processing of the individual aperture signals is needed. An innovative multi-aperture reconstruction algorithm for such a ‘digital beamforming on receive’ was presented and investigated in -. This paper continues with a system design example to demonstrate the algorithm’s capability for high performance imaging. Further, innovative strategies and extended system architectures allowing for optimizing the system performance are introduced and their effectiveness is shown by simulation results. In this context, the theoretical characterization of the impact of the processing on the NESZ is extended to the new concepts.
Optimization Strategies for Multi-Aperture SAR Imaging With High Performance
2007 ; Köln, Deutschland
2007-07-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch