摘要
针对车辆噪声识别问题，在对实测的４种车辆噪声信号进行预处理和ＡＲ谱估计的基础上，提取了谱重心、谱面积和卓越频率成分等几个特征量。实测的车辆噪声数据检验表明，基于ＡＲ谱结构提取的这几个特征具有很好的稳定性，且对车辆目标具有良好的识别效果，这对最终完成战场声目标模糊模式识别具有重要的参考价值。
Aiming at vehicle noise recognition, this paper
abstracts some features, such as, spectrum gravity center, spectrum area and prominent
frequency ingredient on the basis of making pre processing and AR spectrum estimation of
tested four kinds of vehicle noises. Tested data of vehicle noises have shown that the features
abstrated on the basis of AR spectrum estimation have good stability and good recognition
effectiveness to a vehicle target, which has important value for finishing battle field vocal
target fuzzy pattern recognition.
出处
《探测与控制学报》
CSCD
1999年第2期14-18,共5页
Journal of Detection & Control
基金
国防重点研基金
关键词
模式识别
AR谱
车辆
噪声识别
目标识别
feature abstraction
spectrum gravity center
spectrum area
prominent frequency ingredient
