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We propose a metric called the bistatic radar detection coverage probabilityto evaluate the detection performance of a bistatic radar under discreteclutter conditions. Such conditions are commonly encountered in indoor andoutdoor environments where passive radars receivers are deployed withopportunistic illuminators. Backscatter and multipath from the radarenvironment give rise to ghost targets and point clutter responses in the radarsignatures resulting in deterioration in the detection performance. In ourwork, we model the clutter points as a Poisson point process to account for thediversity in their number and spatial distribution. Using stochastic geometryformulations we provide an analytical framework to estimate the probabilitythat the signal to clutter and noise ratio from a target at any particularposition in the bistatic radar plane is above a predefined threshold. Using themetric, we derive key radar system perspectives regarding the radar performanceunder noise and clutter limited conditions; the range at which the bistaticradar framework can be approximated to a monostatic framework; and the optimalradar transmitted power and bandwidth. Our theoretical results areexperimentally validated with Monte Carlo simulations.

Estimation of Bistatic Radar Detection Performance Under Discrete Clutter Conditions Using Stochastic Geometry