计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2013年
1期
111-115
,共5页
弱目标检测%检测前跟踪%粒子滤波%多模型
弱目標檢測%檢測前跟蹤%粒子濾波%多模型
약목표검측%검측전근종%입자려파%다모형
detection of weak target%track before detect%particle filter%multi-model
针对低信噪比条件下机动目标的检测跟踪问题,提出了一种改进型的基于多模型的粒子滤波检测前跟踪算法.由于粒子退化问题,在目标信号微弱、目标发生机动或者信号幅值波动较强势,粒子滤波的TBD算法的检测概率和跟踪精度将会下降.本算法在粒子滤波的基础之上改进,即在每次循环之前加入新粒子,新粒子的分布是由平均法和前一时刻的目标估计结果进行确定.给出了粒子滤波的 TBD 算法推导以及数值计算过程.仿真实验表明:基于改进型粒子滤波检测前跟踪算法能够检测低信噪比的目标.
針對低信譟比條件下機動目標的檢測跟蹤問題,提齣瞭一種改進型的基于多模型的粒子濾波檢測前跟蹤算法.由于粒子退化問題,在目標信號微弱、目標髮生機動或者信號幅值波動較彊勢,粒子濾波的TBD算法的檢測概率和跟蹤精度將會下降.本算法在粒子濾波的基礎之上改進,即在每次循環之前加入新粒子,新粒子的分佈是由平均法和前一時刻的目標估計結果進行確定.給齣瞭粒子濾波的 TBD 算法推導以及數值計算過程.倣真實驗錶明:基于改進型粒子濾波檢測前跟蹤算法能夠檢測低信譟比的目標.
침대저신조비조건하궤동목표적검측근종문제,제출료일충개진형적기우다모형적입자려파검측전근종산법.유우입자퇴화문제,재목표신호미약、목표발생궤동혹자신호폭치파동교강세,입자려파적TBD산법적검측개솔화근종정도장회하강.본산법재입자려파적기출지상개진,즉재매차순배지전가입신입자,신입자적분포시유평균법화전일시각적목표고계결과진행학정.급출료입자려파적 TBD 산법추도이급수치계산과정.방진실험표명:기우개진형입자려파검측전근종산법능구검측저신조비적목표.
In this paper, a multiple model particle filter algorithm is presented for the moving weak target in the low SNR environment. Because of the particle’s degeneracy, the detection probability and tracking accuracy of the particle filter based track-before-detective will descend in the case of the signal of the target gets weaker, the target is maneuvering or the signal amplitude fluctuation is strong. With this improved algorithm based on the particle filter, add the new particles before each cycle, and the distribution of new particles is determined by the average method and the estimation results of latest moment. Theoretical result and numerical compulation of the partical filter-based TBD algorithm is given in this paper. The simulation experiment illustrates the improved particle filter-based TBD algorithm can detect the weak target with a low SNR.
