电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2013年
11期
2700-2706
,共7页
谭顺成%王国宏%王娜%何友
譚順成%王國宏%王娜%何友
담순성%왕국굉%왕나%하우
多目标跟踪%概率假设密度滤波(PHDF)%距离模糊%粒子滤波%脉冲重复频率(PRF)
多目標跟蹤%概率假設密度濾波(PHDF)%距離模糊%粒子濾波%脈遲重複頻率(PRF)
다목표근종%개솔가설밀도려파(PHDF)%거리모호%입자려파%맥충중복빈솔(PRF)
Multitarget tracking%Probability Hypothesis Density Filter (PHDF)%Range ambiguity%Particle filter%Pulse Repetition Frequency (PRF)
为了解决杂波环境下脉冲多普勒(PD)雷达的多目标跟踪问题,提出一种距离模糊情况下基于概率假设密度滤波(PHDF)和数据关联(DA)的联合解距离模糊和多目标跟踪方法。该方法使雷达采用一组脉冲重复频率(PRF)交替变换的工作模式,并对雷达生成的模糊量测进行多假设,得到扩展量测集;然后,利用PHDF可以有效滤除杂波和避免“目标-量测”数据关联的突出优点,对扩展量测集进行滤波,得到粗略的目标状态估计;最后,对PHDF的滤波结果进行“航迹-估计值”关联,给出多目标航迹信息。仿真结果表明,该算法可以同时给出目标个数和各目标状态估计,实现杂波环境和距离模糊条件下对多目标的有效跟踪。
為瞭解決雜波環境下脈遲多普勒(PD)雷達的多目標跟蹤問題,提齣一種距離模糊情況下基于概率假設密度濾波(PHDF)和數據關聯(DA)的聯閤解距離模糊和多目標跟蹤方法。該方法使雷達採用一組脈遲重複頻率(PRF)交替變換的工作模式,併對雷達生成的模糊量測進行多假設,得到擴展量測集;然後,利用PHDF可以有效濾除雜波和避免“目標-量測”數據關聯的突齣優點,對擴展量測集進行濾波,得到粗略的目標狀態估計;最後,對PHDF的濾波結果進行“航跡-估計值”關聯,給齣多目標航跡信息。倣真結果錶明,該算法可以同時給齣目標箇數和各目標狀態估計,實現雜波環境和距離模糊條件下對多目標的有效跟蹤。
위료해결잡파배경하맥충다보륵(PD)뢰체적다목표근종문제,제출일충거리모호정황하기우개솔가설밀도려파(PHDF)화수거관련(DA)적연합해거리모호화다목표근종방법。해방법사뢰체채용일조맥충중복빈솔(PRF)교체변환적공작모식,병대뢰체생성적모호량측진행다가설,득도확전량측집;연후,이용PHDF가이유효려제잡파화피면“목표-량측”수거관련적돌출우점,대확전량측집진행려파,득도조략적목표상태고계;최후,대PHDF적려파결과진행“항적-고계치”관련,급출다목표항적신식。방진결과표명,해산법가이동시급출목표개수화각목표상태고계,실현잡파배경화거리모호조건하대다목표적유효근종。
To solve the problem of multitarget tracking with the Pulse Doppler (PD) radar in clutters, a novel method based on Probability Hypothesis Density Filter (PHDF) and Data Association (DA) for joint range ambiguity resolving and multitarget tracking with range ambiguity is proposed. The method sets the radar work with a set of Pulse Repetition Frequencies (PRFs) alternately, and obtains the extended measurements set by making multiple hypotheses with the ambiguous measurement generated by the radar. Then, filters with extended measurement set with the PHDF by making full use of the advantages of which that it can eliminate clutters effectively and avoid the association between target and measurement. Finally it implements a “track-estimate”data association with the outputs of the PHDF and provides target tracks. Simulation results demonstrate that the proposed method can estimate the number of target as well as individual target state, and succeeds in multitarget tracking with range ambiguity in clutters.