红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
10期
3238-3243
,共6页
红外目标跟踪%状态估计%观测重组%椭球滤波
紅外目標跟蹤%狀態估計%觀測重組%橢毬濾波
홍외목표근종%상태고계%관측중조%타구려파
infrared target tracking%state estimation%re-organization of innovation%ellipsoidal bounding filter
着重对红外跟踪系统目标状态估计过程中存在的观测量滞后和相关性问题进行研究。在目标跟踪过程中,脱靶量信号的滞后导致目标量测位置和真实值间是有误差的,进而通过状态估计得到的目标参数也是不准确的,另外观测量的相关性也降低了估计效果的准确性。对于以上问题,首先利用观测重组技术对时滞观测序列进行重组,将其转化为变结构无时滞观测系统,并在此基础上提出了一种时滞椭球集员估计算法(Delayed ellipsoidal set filter,DESF)。仿真实验结果表明,DESF算法可以有效克服观测序列相关性的影响,同时系统跟踪性能较不考虑观测延迟的情况也有显著提高。
著重對紅外跟蹤繫統目標狀態估計過程中存在的觀測量滯後和相關性問題進行研究。在目標跟蹤過程中,脫靶量信號的滯後導緻目標量測位置和真實值間是有誤差的,進而通過狀態估計得到的目標參數也是不準確的,另外觀測量的相關性也降低瞭估計效果的準確性。對于以上問題,首先利用觀測重組技術對時滯觀測序列進行重組,將其轉化為變結構無時滯觀測繫統,併在此基礎上提齣瞭一種時滯橢毬集員估計算法(Delayed ellipsoidal set filter,DESF)。倣真實驗結果錶明,DESF算法可以有效剋服觀測序列相關性的影響,同時繫統跟蹤性能較不攷慮觀測延遲的情況也有顯著提高。
착중대홍외근종계통목표상태고계과정중존재적관측량체후화상관성문제진행연구。재목표근종과정중,탈파량신호적체후도치목표량측위치화진실치간시유오차적,진이통과상태고계득도적목표삼수야시불준학적,령외관측량적상관성야강저료고계효과적준학성。대우이상문제,수선이용관측중조기술대시체관측서렬진행중조,장기전화위변결구무시체관측계통,병재차기출상제출료일충시체타구집원고계산법(Delayed ellipsoidal set filter,DESF)。방진실험결과표명,DESF산법가이유효극복관측서렬상관성적영향,동시계통근종성능교불고필관측연지적정황야유현저제고。
The delay and pertinence of observation sequence in the infrared tracking system affect estimation to the target estate. In the course of tracking, delay of observation sequence induces the error between the measurement and truth, and then estimation based on the measurement is inaccurate, at the same time, pertinence of observation sequence affects the estimation result too. To assure the veracity of prediction, firstly, the system model was modified by ellipsoidal set form to overcome the pertinence of observation sequence, and at the same time, the innovation re-organization technique was introduced to eliminate the observation delay. With the innovation re-organization, the system structure was changed and a model without delay was obtained. At last, a delayed ellipsoidal set filter (DESF) was presented. Result of simulation shows that, DESF algorithm could overcome the effect of pertinence of observation sequence, and compared with filter designed without innovation re-organization, the tracking precision is better.