Exact Bistatic Detection With Dual-Use AF Relays in SAGINs
Changhao He, Xiaojuan Zhang
We study bistatic UAV detection using dual use amplify and forward (AF) relays in satellite aerial ground integrated networks. The target reflects the pilot, payload, and relay noise, allowing the exact finite sample Neyman Pearson detection probability to be derived in noncentral chisquare form under Gaussian payload signaling. The AF cascade introduces a variance signature even without payload transmission and leads to a rate-constrained pilot allocation, distinct relay-power limits, and phase-dependent variance changes under residual direct-path interference. For a decorrelated or suppressed direct path, we further derive a phase-only generalized likelihood ratio test with exact single-integral error probabilities at an assumed target magnitude, the correlated case retains a known-coefficient detection law. A 15-GHz low Earth orbit link budget and Monte Carlo simulations validate the analysis.
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