in a field strength of 1 V/m. That would mean operations may be degraded within 60 km of the rectenna. Recent manufacturer data indicate that many of the latest pacemaker models would not be affected even by power densities anticipated near the rectenna. This information will be carefully reviewed and probably experimentally verified before final conclusions are published. Degradation evaluation for many radar, communications, and control systems can be based on measurements and modeling of military and civil systems operating in collocation with high power radar, modulated continuous wave sources, or single frequency jammer equipment. Extrapolations for different coupling modes and nonlinear responses in the predetection and processing functions must be accommodated in this signal-interference scoring for SPS-induced degradation. Communications links and systems previously evaluated for collocated source degradation include analog and multiplexed digital configurations. Scoring of the latter is multifunctional because of the separate control, address, and data message components. Modification recommendations are affected by these functional sensitivities. Imaging equipment degradation descriptors have been based on noise, detection threshold, and spatial resolution factors. Coupling is accomplished through detector (vidicon, semiconductor detector, multiplier tube), and associated control and signal circuitry usually physically located with the detector device. 4.1.5 Research Plan and Alternatives Generally the EMC tasking involves application of propagation models describing the loss, scatter, and refractive properties of the atmosphere; and evaluating the CONUS electromagnetic receiver and other electronic equipment degraded because of SPS illumination. The electromagnetic compatibility implications of modified ionosphere regions (e.g., communications operating in the low through ultra high frequency spectrum) are discussed in Section 4.1.2. Atmospheric propagation models have been developed to describe frequency dependent characteristics as listed in Table 4.1. The models relating these propagation and atmosphere characteristics must be modified to accommo-
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