火控雷达技术
火控雷達技術
화공뢰체기술
FIRE CONTROL RADAR TECHNOLOGY
2015年
1期
10-15
,共6页
相控阵雷达%资源调度%弹簧振子
相控陣雷達%資源調度%彈簧振子
상공진뢰체%자원조도%탄황진자
phased array antenna%resource scheduling%spring vibrator
相控阵雷达与常规机械扫描雷达相比,其对空中目标的探测更加灵活、快速,能够在微秒量级形成定位的雷达波束,先进事件调度方式是发挥这一优势的关键所在。对于固定调度间隔和优先级调度算法,级别较高的事件抢占位置后不再调整,对于冲突的同等级别或级别低的事件进行时间窗内调整。其优点就是运算简单,无需反复调整,同时也产生较多破碎的时间片段,对于平均时间偏移率也无法实现优化调整,浪费雷达有限的资源。本文将弹簧振子模型引入到雷达事件调度算法中,利用弹簧双向调整原理,在最小能量的约束下,实现对雷达申请事件有反馈地自适应调度。结合对弹簧振子固有参数的设计可以在计算量与评价指标之间进行取舍,增加了算法可设计的空间。
相控陣雷達與常規機械掃描雷達相比,其對空中目標的探測更加靈活、快速,能夠在微秒量級形成定位的雷達波束,先進事件調度方式是髮揮這一優勢的關鍵所在。對于固定調度間隔和優先級調度算法,級彆較高的事件搶佔位置後不再調整,對于遲突的同等級彆或級彆低的事件進行時間窗內調整。其優點就是運算簡單,無需反複調整,同時也產生較多破碎的時間片段,對于平均時間偏移率也無法實現優化調整,浪費雷達有限的資源。本文將彈簧振子模型引入到雷達事件調度算法中,利用彈簧雙嚮調整原理,在最小能量的約束下,實現對雷達申請事件有反饋地自適應調度。結閤對彈簧振子固有參數的設計可以在計算量與評價指標之間進行取捨,增加瞭算法可設計的空間。
상공진뢰체여상규궤계소묘뢰체상비,기대공중목표적탐측경가령활、쾌속,능구재미초량급형성정위적뢰체파속,선진사건조도방식시발휘저일우세적관건소재。대우고정조도간격화우선급조도산법,급별교고적사건창점위치후불재조정,대우충돌적동등급별혹급별저적사건진행시간창내조정。기우점취시운산간단,무수반복조정,동시야산생교다파쇄적시간편단,대우평균시간편이솔야무법실현우화조정,낭비뢰체유한적자원。본문장탄황진자모형인입도뢰체사건조도산법중,이용탄황쌍향조정원리,재최소능량적약속하,실현대뢰체신청사건유반궤지자괄응조도。결합대탄황진자고유삼수적설계가이재계산량여평개지표지간진행취사,증가료산법가설계적공간。
Comparing with conventional mechanical scanning radar, phased array radar can detect air targets more flexibly and quickly, steered radar beams can be formed in microsecond;key factor to take advantages of this prop-erty is by applying advanced event scheduling algorithm. For fixed schedule interval and priority scheduling algo-rithms, after high priority events occupy their positions, adjustment will be not conducted; only conflicted events with the same priority or lower priority will be adjusted within time window. Advantages of this algorithm include computation is simple and doesn’ t need to do adjustment repeatedly;while many time fragments will be generated and optimization adjustment of mean time offset rate is unable to achieve, therefore limited radar resource is was-ted. By introducing spring vibrator model into radar event scheduling algorithm, and by using dual-directional ad-justment principle of spring, under minimum energy constrain, radar application events can be scheduled with feed-back adaptively. Through designing spring vibrator inherent parameters to achieve tradeoff between computation load and assessment index, more designable space can be provided for the algorithm.