【摘要】 随着目标声源级不断减小、环境噪声级不断增大,常规的基于单节点的被动定位方式已经不能满足声纳探测的需求,因此提出一种新的将网络化探测系统和模基处理技术相结合的被动定位方法,可以从空间不同角度对目标进行观察并充分利用环境声场的复杂性对目标进行定位。模基处理方法主要有匹配场处理、匹配模处理等,以匹配场处理为例进行分析,将常规波束形成(Conventional Beamforming,CBF)、自适应波束形成(Minimum Variance Distortionless Response,MVDR)两种匹配场处理器和阵间相干、非相干信号处理方法相结合进行仿真,对单阵和多阵、MVDR和CBF、相干处理和非相干处理、宽带和窄带之间的定位性能进行了对比。仿真结果显示,基于多节点的阵间模基相干处理方式在定位性能上明显优于单节点的模基处理结果。更多还原

【Abstract】 A new passive localization method using multi-node network detection system combined with model-based processing technology is proposed,which can observe the target from different angles and take advantage of the com-plexity of the environment.The common methods of model-based processing are matched field processing(MFP) and matching mode processing(MMP).MFP is used here.Combined with the CBF,MVDR matching processors,the in-ter-array coherent and incoherent signal processing method are studied.Through simulation,the performances between single array and multi-array,MVDR and CBF,coherent and incoherent processing,broadband and narrowband have been compared.The simulations show that the performance of inter-array model-based processing method based on multi-array is superior to single-array model-based processing method.更多还原