Aiming at the problem of limited resource allocation in netted radar system, this paper extends the idea of distributed multiple-input multiple-output (MIMO) radar to netted radar detection, and proposes a multi-target imaging resource scheduling algorithm for netted radar based on single-input multiple-output (SIMO) technology. The algorithm estimates the target size based on the target feature recognition, and uses the compressed sensing principle to calculate the pulse resources needed for target imaging. Secondly, the radar is selected according to the target size, and a reasonable resource scheduling model is established. Finally, the effectiveness of the algorithm is verified by simulation, and compared with the conventional netted radar algorithm, the scheduling success rate is improved and the consumption of pulse resources is reduced.
A range-angle–dependent beam pattern can be produced by frequency diversity array (FDA) due to the small frequency offsets between the array elements. The beam pattern can be used to automatically scan an area in its entirety and estimate the distance and angle to a target. However, for constant tracking of the target after recognition, energy is wasted in the scanning mode because of periodic scanning of the main lobe of the beam. To eliminate this energy waste, we propose multiple repeated subpulses of FDA. This scheme achieves stable tracking without range–angle coupling. This special transmission method considerably improves the transmission energy and signal-to-noise ratio, while ensuring accurate range detection and high resolution. The results of a feasibility analysis and simulation experiments verify the superiority of the proposed method.
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