火力与指挥控制
火力與指揮控製
화력여지휘공제
FIRE CONTROL & COMMAND CONTROL
2014年
6期
26-30,35
,共6页
目标跟踪%粒子滤波%数据关联%自适应滤波
目標跟蹤%粒子濾波%數據關聯%自適應濾波
목표근종%입자려파%수거관련%자괄응려파
target tracking%particle filter%data association%adaptive filter
目标跟踪算法通常包含对参数杂波密度的测量,该杂波密度通常是不均匀的。目前的无参目标跟踪一般是先假设一个先验未知的杂波密度,假设它均匀分布在一个选好的门限内。这和一个包含强杂波密度、多扫描的目标跟踪算法的选通门限有很大的不同。基于此,提出了一个替代杂波密度估计的无参目标跟踪方法,该算法不假设该杂波在选择的门限内。而是建立在对已测杂波密度估计的基础上,重要的是该估计是在后验目标的轨道更新以前就被估计过,即它是针对杂波密度逆向测量的修正估计。仿真结果表明:该算法在强密度非均匀杂波环境中的有效性。
目標跟蹤算法通常包含對參數雜波密度的測量,該雜波密度通常是不均勻的。目前的無參目標跟蹤一般是先假設一箇先驗未知的雜波密度,假設它均勻分佈在一箇選好的門限內。這和一箇包含彊雜波密度、多掃描的目標跟蹤算法的選通門限有很大的不同。基于此,提齣瞭一箇替代雜波密度估計的無參目標跟蹤方法,該算法不假設該雜波在選擇的門限內。而是建立在對已測雜波密度估計的基礎上,重要的是該估計是在後驗目標的軌道更新以前就被估計過,即它是針對雜波密度逆嚮測量的脩正估計。倣真結果錶明:該算法在彊密度非均勻雜波環境中的有效性。
목표근종산법통상포함대삼수잡파밀도적측량,해잡파밀도통상시불균균적。목전적무삼목표근종일반시선가설일개선험미지적잡파밀도,가설타균균분포재일개선호적문한내。저화일개포함강잡파밀도、다소묘적목표근종산법적선통문한유흔대적불동。기우차,제출료일개체대잡파밀도고계적무삼목표근종방법,해산법불가설해잡파재선택적문한내。이시건립재대이측잡파밀도고계적기출상,중요적시해고계시재후험목표적궤도경신이전취피고계과,즉타시침대잡파밀도역향측량적수정고계。방진결과표명:해산법재강밀도비균균잡파배경중적유효성。
Target tracking algorithm typically contains the measurement of clutter density. Generally,the clutter density is non-uniform. In non-parametric target tracking algorithm,the clutter density is assumed an a priori unknown,and uniformly distributed within a selected threshold. This is very different with the selected gating threshold of multi-scan target tracking algorithm included heavy clutter density. Therefore,a method of non-parametric target tracking based on the non-uniform clutter is introduced in this paper,which is used to substitute for the estimates of clutter density. The clutter in this algorithm is not set in the selected gating threshold,conversely,the estimate of clutter density is established on the basis of the measured density. This is important that the estimate is estimated before the update of the posteriori target track and is the revised estimates of reverse measurement of clutter density. The simulation indicates the effectiveness of the proposed algorithm in heavy non-uniform clutter.