The Study On DOA Estimation Of Underwater Acoustic Target Based On Vector Sensor

To describe a complete sound field environment,it is not enough to rely solely on scalar information,and more often it is necessary to rely on vector information to completely describe the sound field information.However,for a long period of time,the vector information in the sound field was neglected until the appearance of vector hydrophone.Vector hydrophone is a composite hydrophone,which can synchronously pick up the sound pressure and vibration information in the sound field,compared to the traditional sound pressure hydrophone provides a richer sound field information for the follow-up information processing Provide more credible data.Based on this,this paper choose a vector hydrophone to replace the original scalar sensor to study the direction of arrival(DOA)estimation method.After introducing the vector hydrophone in detail,this paper studied MSCS and SRV-MVDR,and hopes to get a more effective estimation method.The main contents of the full text are as follows:This paper introduces the research status of vector hydrophone,super-resolution algorithm and the basic theory of array signal processing.On this basis,the mathematical model of vector hydrophone is constructed.Taking into account the close relationship between array structure and receiving model,several commonly used array structures are analyzed.Based on the MSCS method,a comprehensive study has been carried out.Aiming at the shortcomings of MSCS(MUSIC symmetrical compression,MSCS)was only applicable to the sound pressure array and the half spectrum search couldn't distinguish between the space radiation source and the mirror radiation source,a vector sensors array MSCS energy azimuth estimation method was proposed.After mathematic deduction and simulation experiments prove that this algorithm has better robustness and half-spectrum search can directly obtain accurate position information,without the need of follow-up discrimination and improve the efficiency of the algorithm.In order to further improve the complexity of the spectrum search algorithm,researched on SRV-MVDR.In this algorithm,the real part and the steering vector of the inverse of the covariance matrix have a double orthogonality,so that the effect of half-spectrum search can be achieved by the semi-substantive operation and the complexity of the half-spectrum search algorithm can be further reduced.However,like other semi-spectral algorithms,this algorithm can not distinguish the specular radiation source from the real source in the half-spectrum searching process.Therefore,this paper proposes a weighted subspace projection algorithm to optimize SRV-MVDR to overcome this drawback.Finally,the simulation results show that this algorithm has robustness and is more suitable for the practical engineering environment with low SNR and small snapshot.