tailieunhanh - 70 Space-Time Adaptive Processing for Airborne Surveillance Radar

Space-Time Adaptive Processing (STAP) is a multi-dimensional filtering technique developed for minimizing the effects of various kinds of interference on target detection with a pulsed airborne surveillance radar. | Hong Wang. Space-Time Adaptive Processing for Airborne Surveillance Radar. 2000 CRC Press LLC. http . Space-Time Adaptive Processing for Airborne Surveillance Radar Hong Wang Syracuse University Main Receive Aperture and Analog Beamforming Data to be Processed The Processing Needs and Major Issues Temporal DOF Reduction Adaptive Filtering with Needed and Sample-Supportable DOF and Embedded CFAR Processing Scan-To-Scan Track-Before-Detect Processing Real-Time Nonhomogeneity Detection and Sample Conditioning and Selection Space or Space-Range Adaptive Pre-Suppression of Jammers A STAP Example with a Revisit to Analog Beamforming Summary References Space-Time Adaptive Processing STAP is a multi-dimensional filtering technique developed for minimizing the effects of various kinds of interference on target detection with a pulsed airborne surveillance radar. The most common dimensions or filtering domains generally include the azimuth angle elevation angle polarization angle doppler frequency etc. in which the relatively weak target signal to be detected and the interference have certain differences. In the following the STAP principle will be illustrated for filtering in the joint azimuth angle space and doppler frequency time domain only. STAP has been a very active research and development area since the publication of Reed et al. s seminal paper 1 . With the recently completed Multichannel Airborne Radar Measurement project MCARM 2 - 5 STAP has been established as a valuable alternative to the traditional approaches such as ultra-low sidelobe beamforming and Displaced Phase Center Antenna DPCA 6 . Much of STAP research and development efforts have been driven by the needs to make the system affordable to simplify its front-hardware calibration and to minimize the system s performance loss in severely nonhomogeneous environments. Figure is a general configuration of STAP functional blocks 5 7