Abstract
The random array subset selection (RASS) jammer, which randomly selects a subset out of the transmit array antenna from time to time, was verified to effectively counter against multistatic radar system (MSRS). However, the countermeasure ability of RASS is restricted, because the probabilities of activating antenna elements for transmission are constrained to be identical. To further enhance the countermeasure ability, we propose the resource allocation of distributed jammer under random selection (RADJRS) in this paper, where antenna elements of the jammer are activated randomly with different probabilities, abandoning the previous constraint and generalizing RASS. We establish an optimization model with respect to the selection probabilities, whose objective function is minimizing the output-to-input jamming energy ratio of the jamming suppression method used in MSRS. This non-convex optimization model is then relaxed into a convex problem, facilitating the solution of the problem. Numerical results verify the feasibility of the relaxation and demonstrate that RADJRS outperforms the RASS when fighting against MSRS.
Highlights
Fighting against multistatic radar system (MSRS) [1]–[3] has become an important task for the electronic countermeasure (ECM), which transmits jamming signals towards hostile radar to protect friendly target from being detected
This paper extends the previous work [7] by omitting the equal-probability constraint, in order to further enhance the countermeasure performance against MSRS
We assume that the locations of the MSRS is known to jammer by some reconnaissance technologies or information pre-loaded by intelligence services, and the jamming signal is pointed towards the main radar
Summary
Fighting against MSRS [1]–[3] has become an important task for the electronic countermeasure (ECM), which transmits jamming signals towards hostile radar to protect friendly target from being detected. RASS jammer randomly selects antenna elements to transmit jamming signals, which forms stable mainlobe and random sidelobe. This paper extends the previous work [7] by omitting the equal-probability constraint, in order to further enhance the countermeasure performance against MSRS. To this end, we propose RADJRS, where the probabilities to activate antenna elements are different and are optimized under the objective of enhancing jamming performance.
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