摘要
提取船舶螺旋桨的加速度特征,是声纳导引头和智能声引信探测与分类港口水域机动目标的可行途径。首先分析了匀加速旋转螺旋桨的空泡体积脉动辐射噪声、脉动力辐射噪声和连续谱噪声的水声信号特征,给出被动声纳接收信号模型。进而基于该信号模型,分析了在一定条件下提取螺旋桨加速特征时存在的干扰问题,从而提出了基于分数阶Fourier域滤波的干扰抑制算法及相应的螺旋桨加速度提取算法,并给出了算法的实现步骤。最后,通过对水洞试验数据的分析,验证了算法的合理性。
For the hydro-acoustic seekers and intelligent hydro-acoustic fuses, extraction of acceleration and deceleration feature of propeller is a practicable way to detect and classify the maneuvering targets in a port region. The signal characteristics of fluctuating volume rediation noise, fluctuating rediation' force noise and continuous spectrum noise of the cavitation produced by the accelerative propeller are analyzed in this paper first, and then the received signal model for the passive sonar is presented. To resolve the disturbance problem under certain signal processing condition, a fractional domain disturbance rejection algorithm is proposed, and its realization procedure is given also. In addition, the analysis result for the test data in cavitation tunnel, validates the feasibility of the proposed algorithm.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2010年第6期710-715,共6页
Acta Armamentarii