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In recent years, precision electronic warfare (PREW), an energy‐focussed delivery technology, has been used to solve a series of problems that currently limit traditional electronic warfare. A super‐sparse array of transmitters is used to concentrate the jamming energy as much as possible in the target area and reduce the jamming energy as much as possible in other specific protected areas. However, determining how to design jamming waveforms with jamming characteristics, such as covering the target work bandwidth, while ensuring that the energy transmission meets the requirements, is still an urgent problem. For the first time, this paper considers the task characteristics of PREW applications as constraint conditions. Through a first‐order Taylor expansion, the optimisation problem is approximately transformed into a convex sequential cone programming problem, and jamming waveforms are obtained through an iterative solution method. Experiments showed that the jamming waveforms designed by this algorithm meet the energy distribution requirements of PREW scenarios, and at the same time, the jamming waveforms emitted by each transmitter are superimposed in the jamming area to produce a signal that can cover the target work bandwidth. This method can achieve energy focussing on the space and frequency domains. [ABSTRACT FROM AUTHOR]

Focussed energy delivery (FED), which transmits energy to a specific area by ultrasparse arrays, is the core technique of precision electronic warfare (PREW). However, array sparsity results in severe grating lobes in practice, which greatly increase the risks of an interference system being attacked and unexpected jamming occurring in other devices. Here, two methods are presented which are aimed at suppressing grating lobes when implementing FED in the application of PREW to avoid the problems mentioned. Regarding the first method, a new metric based on the l∞‐norm is proposed to measure the maximum grating lobe and introduce the metric to the standard FED model. A multiobjective optimisation problem (MOP) is established and solved by the alternating direction penalty method (ADPM) framework. In the second method, the degrees of freedom of the transmitted signals are extended by equipping each platform with a group of linear uniform antennas. The corresponding MOP is established and block coordinate descent is employed to simplify the problem into two subproblems concerning the amplitude and phase components of the transmitted signals. Then, these two subproblems are solved using Taylor expansion and the ADPM framework. Simulation results are provided to demonstrate the advantages of the proposed methods over the state‐of‐the‐art methods. [ABSTRACT FROM AUTHOR]

This letter presents a new method of focused energy delivery (FED) with low grating lobes for precision electronic warfare (PREW). The transmitted signal model is modified by equipping each platform with a linear uniform antenna array, enabling the same performance with lower power and providing a greater degree of freedom in the design of the transmitted signals than traditional methods. Moreover, the L∞‐norm is considered as a regularization term in the model to simultaneously realize FED and alleviate the grating lobes. To solve the nonconvex NP‐hard multiobjective optimization problem (MOP), block coordinate descent (BCD) is employed to separate the problem into two subproblems with respect to the amplitude and phase components of the signals. Then, these two subproblems are solved using Taylor expansion (TE) and the alternating direction penalty method (ADPM), respectively. Simulation results demonstrate that the proposed method exhibits superior performance compared to previous methods. [ABSTRACT FROM AUTHOR]