Passive location using inter-array model-based processing
Qingbang Han
Abstract
Qingbang Han
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.
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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.
Key concepts: Array processing, Narrowband, Computer science, Signal processing, Sensor array, Broadband, Matching (statistics), Telecommunications