Phased array radar self-adaptive resource scheduling method based on wave parking rhythm and event driving

Abstract

The invention relates to a phased array radar self-adaptive resource scheduling method based on a wave parking rhythm and event driving. Resources such as phased array radar time and energy are limited and need to be dynamically allocated and effectively managed so that the phased array antenna beam agility ability can be given full play to. Meanwhile, radar work modes and work parameters are adjusted in a self-adaptive mode to achieve multiple tasks and multiple functions. The invention provides a phased array radar self-adaptive resource scheduling strategy based on the wave parking rhythm and event driving. The scheduling strategy is combined with work characteristics of the modern radar wave parking rhythm, wave parking serves as a time interval of task scheduling, a computer is scheduled to synchronize radar wave parking, organic combination of search management and tracking management is achieved and can better adapt to work characteristics of a phased array radar, the scheduling success rate and the time utilization rate are high, response to external random events has flexibility, dynamics, quickness and broad-spectrum adaptability, and the method is an optimized scheduling mode.

Description

technical field [0001] The invention belongs to the technical fields of radar and computer, relates to a resource scheduling method of a phased array radar, in particular to an adaptive resource scheduling method of a phased array radar based on wave standing beat and event-driven. Background technique [0002] Phased array radar has limited resources such as time and energy, which need to be dynamically allocated and effectively managed in order to give full play to the beam agility of phased array antennas, adaptively adjust the radar working mode and working parameters, and realize multiple tasks and multiple tasks. function. In the traditional template or adaptive resource scheduling, the radar can only complete specific tasks in a specific time unit, and cannot execute tasks according to the priority in real time, and the time unit is almost fixed, resulting in a lot of waste of time resources. [0003] Looking at the current resource scheduling methods of phased array...

AI Technical Summary

Problems solved by technology

Its scheduling success rate and time utilization rate cannot reach 100%, and the average time offset rate cannot approach 0, and a new high-priority event randomly generated within a scheduling interval cannot be executed immediately in this scheduling interval. It can only be executed after scheduling analysis at the next scheduling interval, and long-term execution will cause the accumulation of control words, resulting in a sharp decline in system performance

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