无线电/声复合探测引信目标识别算法

Target recognition algorithm of radio/acoustic compound detection fuze

针对传统模版匹配法处理单模信号能力强、多模信号处理的局限性较大的问题,在对多旋翼无人机反制弹药引信探测与识别方法研究中,提出了一种基于模糊识别的改型模板匹配方法。无线电探测依据基于Gabor变换瞬时频率预估的微动特征,提取目标特征参数。声探测根据多旋翼无人机飞行过程中产生的噪声信息识别目标。在无线电/声复合探测方法中,通过两种探测手段获取桨叶转动频率并提取目标关联特征,建立微多普勒频率与声回波频率的线性关系。最后,采用模板匹配法,根据待测信号与模板库中的标准倍数关系进行模板匹配,基于模糊识别理论对模板匹配结果进行决策级融合,提高了无线电/声复合探测方式的探测精度和抗环境干扰能力。

Aiming at the problems of strong single-mode signal processing ability and large limitations of multi-mode signal processing in traditional template matching method,a modified template matching method based on fuzzy recognition is proposed in the research on detection and recognition method of multi rotor UAV anti Ammunition Fuze.The target feature parameters are extracted from the micro motion features based on the instantaneous frequency prediction of Gabor transform.Acoustic detection identifies targets according to the noise information generated during the flight of multi rotor UAV.In the radio/acoustic composite detection method,the blade rotation frequency is obtained by two detection methods and the target correlation features are extracted,and the linear relationship between micro Doppler frequency and acoustic echo frequency is established.Finally,the template matching method was used,according to the standard multiple relationship between the signal to be tested and the template library,the template matching is carried out.The template matching results are fused at the decision level based on the fuzzy recognition theory,which improves the detection accuracy and anti-interference ability of the radio/acoustic composite detection mode.