Research on the jamming formation assessment and optimization method of multiple active radiation sources based on improved PSO

To improve the defense of offshore civilian facilities such as oil and gas platforms and freighters against external detection systems, our research investigates the collaborative formation of multiple active radiation sources. A single active radiation source is limited in jamming range and capacity; therefore, combining several sources is necessary for cooperative interference, which is vital for effective jamming. This paper derived the critical deployment conditions first for achieving effective joint jamming with multiple active radiation sources. Accounting for stochastic and non-cooperative factors in the jamming process, a quantitative evaluation method based on probabilistic reasoning was then proposed to calculate the effectiveness of joint jamming by simultaneously activating multiple active radiation sources against a threat direction. Furthermore, an evaluation model was developed for the jamming formation of multiple active radiation sources. This model enables the optimal selection of radiation source resources to activate against diverse threat directions, facilitating the calculation of the average jamming success probability of the formation across the entire defense region (a certain angular span). Building upon this, an Improved Adaptive Particle Swarm Optimization (IMAPSO) algorithm was introduced for the automatic jamming formation optimization of multiple active radiation sources. Simulations across various application scenarios validate the capability of IMAPSO in formation optimization and its jamming effectiveness.