现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
20期
31-34,37
,共5页
时频分析%运动目标%参量估计%数据挖掘
時頻分析%運動目標%參量估計%數據挖掘
시빈분석%운동목표%삼량고계%수거알굴
time frequency analysis%moving target%parameter estimation%data mining
通过对高速运动点目标的运动参量挖掘,实现对高速运动目标的速度、时延、方位等信号源参量的准确估计。传统方法主要采用宽带信号检测方法实现对高速运动点目标的参量挖掘和估计,当运动目标的时频特征具有窄带特性时,对目标运动参量估计精度不高。提出一种基于时频分析的高速运动点目标运动参量挖掘算法,构建高速运动点目标的信号回波模型,采用级联滤波算法对运动目标的干扰特征进行降噪滤波处理,对信号提取四阶累积量时频特征,直接获取近场源的参量,通过时频分析避免了谱峰搜索,减少对运动特征参量的挖掘计算量,提高参量估计精度。仿真结果表明,采用该算法进行高速运动点目标的运动参量挖掘和信号参量估计,能有效实现信号的抗干扰滤波,对运动目标的时延、方位角等参量估计精度较高,展示了较好的应用价值。
通過對高速運動點目標的運動參量挖掘,實現對高速運動目標的速度、時延、方位等信號源參量的準確估計。傳統方法主要採用寬帶信號檢測方法實現對高速運動點目標的參量挖掘和估計,噹運動目標的時頻特徵具有窄帶特性時,對目標運動參量估計精度不高。提齣一種基于時頻分析的高速運動點目標運動參量挖掘算法,構建高速運動點目標的信號迴波模型,採用級聯濾波算法對運動目標的榦擾特徵進行降譟濾波處理,對信號提取四階纍積量時頻特徵,直接穫取近場源的參量,通過時頻分析避免瞭譜峰搜索,減少對運動特徵參量的挖掘計算量,提高參量估計精度。倣真結果錶明,採用該算法進行高速運動點目標的運動參量挖掘和信號參量估計,能有效實現信號的抗榦擾濾波,對運動目標的時延、方位角等參量估計精度較高,展示瞭較好的應用價值。
통과대고속운동점목표적운동삼량알굴,실현대고속운동목표적속도、시연、방위등신호원삼량적준학고계。전통방법주요채용관대신호검측방법실현대고속운동점목표적삼량알굴화고계,당운동목표적시빈특정구유착대특성시,대목표운동삼량고계정도불고。제출일충기우시빈분석적고속운동점목표운동삼량알굴산법,구건고속운동점목표적신호회파모형,채용급련려파산법대운동목표적간우특정진행강조려파처리,대신호제취사계루적량시빈특정,직접획취근장원적삼량,통과시빈분석피면료보봉수색,감소대운동특정삼량적알굴계산량,제고삼량고계정도。방진결과표명,채용해산법진행고속운동점목표적운동삼량알굴화신호삼량고계,능유효실현신호적항간우려파,대운동목표적시연、방위각등삼량고계정도교고,전시료교호적응용개치。
The accurate estimation for the speed,time delay and azimuth of high?speed moving target was realized by mining the motion parameters of the target. In view of the deficiency that traditional test method of broadband signal has low accuracy when time?frequency characteristics of the moving target has a narrow band feature,a new motion parameter mining method for high?speed moving point target based on time?frequency analysis is proposed. The echo signal model of high?speed moving point target was established. The denoise filtering processing for interference feature of moving target is carried out with cascade filter?ing algorithm. The fourth?order cumulant time?frequency characteristics of signals are extracted to obtain near?field source param?eters directly,which avoided the spectrum peak search by time?frequency analysis,reduced the mining calculated quantity of motion characteristic parameters and improved the accuracy of parameter estimation. The simulation results show that the new method to excavate the moving target parameters and estimate the signal parameters can realize anti?interference filtering of sig?nals effectively,and has high accuracy in parameter estimation of time?delay,azimuth,etc.