Integrating Multiband Active and Passive Radar for Enhanced Situational Awareness Table 1. Update Rates of the Different Passive Radar Sensors Sensor FM DAB / DVB-Ty Hensoldt containery 104.9 / 16.8 / 12.7 17.0 / 3.0 / 1.9 Hensoldt vany PIT-RADWARy armasuisse Warsaw Universityy 132.8 / 7.3 / 14.7 11.0 / 1.0 / 1.7 13.8 / 2.3 / 1.3 5.4 / 1.0 / 1.2 - 0.7 / 1.0 / 1.1 - 11.6 / 0.2 / 2.7 Figure 14. More detailed contributions of the different passive radar sensors. An Airbus A320 is flying straight and level with ca. 585 km/h at about 12 km altitude. A Pilatus PC-12 (250-370 km/h, 1250 m) and an EADS CASA C-295M (355 km/h, 1500-1600 m) plus two General Dynamics F-16 (430-700 km/h, 1400-1700 m) are maneuvering. Same representation as in Figure 13. networks while the latter use just two SFN transmitters each. Moreover, the data of the research systems did not contain azimuth information, which made correlation and association more difficult. The scenes in Figures 14 and 15 give some more insight. The airliner at cruise altitude in Figure 14 is not detected with the SFN-only systems too well, while the Figure 15. Detailed contributions of the different passive radar sensors and receiver positions. A maneuvering Pilatus PC-12 flies with 270- 440 km/h at altitudes between 840 and 2700 m. Same representation as in Figure 13. 44 Figure 16. Passive radar fills gaps caused by cone of silence of active radar. Active plots and tracks (top) as well as fused tracks and created plots (bottom). Colors as in Figure 11 with track drops in red, positions relative to active radar sensor. IEEE A&E SYSTEMS MAGAZINE AUGUST 2022