DOA Estimation Of Multi-Sources By Single Vector Transducer

Advantage of the vector sensor consists in the fact that it can give both the information about pressure (scalar quantity) and particle velocity (vector quantity) of the sound field, and offers more possibilities for signal processing. So vector sensor and its signal processing have attracted the attention of researchers both native and foreign. Using the difference of correlations between pressure and particle velocity in plane wave and in isotropic noise, one way get the system of equations containing intensities and DOA of different sources.Genetic Algorithms(GA) is a selfadapting global optimization method ,which coming into being by simulating evolution procedure of biology in the entironment.Recently, more and more success applications of GA have been obtained in many fields. GA has the capability of solving complex optimization problems.In this paper, GA is used in DOA estimation of multi-sources by single vector thansducer.The main contents are:1. Introduce research about vector sensor and signal processing of the vector transducer both native and foreign.2. Introduce the method of the Simple GA and Niche GA. is used in the problem of complex function optimization.The main parameters of GA are given and the validate of GA is checked.3. Give the relationship of the results ,which was measured by vector sensor and introduce briefly the principle of the inertia sensor.The correlation equations of pressure and velocity are deduced.4. GA is used in the optimization problem about the correlation equations of pressure and velocity.The capability of GA is checked.The emulating research about the estimation of multi-sources parameters for different SNR or DOA with narrowband singal is done.And availability of this method for brodband signal is also checked.