The bistatic frequency diverse array (FDA) radar system is designed to exploit the beam autoscanning of FDA radar, providing a novel solution to address spatial synchronization challenges in bistatic radar architecture, unleashing bistatic radar’s advantage in low-observable target detection, main-lobe jamming (MLJ) suppression, etc. To lay the theoretical foundation for subsequent research on bistatic FDA radar systems, this study develops a generalized ambiguity function (GAF) framework, jointly characterizing target velocity, range, and angular parameters, which can provide a reference for transmitted signal optimization and bistatic geometric configuration design. This paper derives the mathematical model of the bistatic FDA radar system’s GAF and validates that its structure not only depends on the transmitted signal but also exhibits strong geometric dependency, where baseline length and target position jointly reshape the bistatic triangle through numerical simulations.

This paper analyzes the characteristics of cooperative stand-off jamming and proposes a model for generating Living and Simulated Mixed Driver (LASMD) stand-off jamming scenarios based on minimax algorithm to meet the simulation requirements of LASMD. Based on minimum burn-through range criterion and constant jamming power criterion, the objective function and constraints of the model are given. Finally, a genetic algorithm is used to solve the model, and a power allocation plan for LASMD is automatically generated, which effectively solves the problem of automatic configuration of stand-off jamming scenarios in LASMD system.