Radio Signal Source Location Based On Intelligent Optimized Particle Filter

Radio signal source location is an important part of radio monitoring,and it is an important means to ensure social security.Radio mobile monitoring vehicle is one of the main equipment for monitoring electromagnetic environment and finding the interference signal source,which can move to the area that is not covered by the fixed stations and find the direction of the signal source easily.Due to the fact that electromagnetic environment in urban areas is even worse,the signal received by the direction finder occurs great deviation,so that the direction-finding data contain outliers and the location error is large.Aiming at the problem,particle filter is used to estimate the state of signal source.However,the traditional particle filter has the problem of low precision due to particle degeneracy and sample dilution,which greatly influences the estimation precision.Therefore the swarm intelligent optimization algorithm is introduced to improve the particle distribution and the estimation accuracy.The following are the main work of this paper:Firstly,it researches the selection of radio signal source location method and the establishment of location model,and establishes the plane model and spherical model of angle of arrival location.Then the particle filter algorithm is applied to the location model and the implementing flow of the signal source location method based on particle filter is given.The simulation results show that the location precision needs to be further improved because of the particle degeneracy and sample dilution of particle filter.Secondly,a signal source location method based on artificial fish school particle filter algorithm is proposed to solve the problem of low location precision of location method based on particle filter.It employs the intelligent optimization idea of artificial fish school algorithm and uses the alternation of prey behavior and swarm behavior,which improves the particle distribution.Simulation and experimental results show that the proposed method can improve the location accuracy of,and it has high application value.Thirdly,a signal source location method based on improved quantum-behaved particle swarm optimization(QPSO)particle filter algorithm is also proposed.It uses QPSO to optimize the particles,making particles move towards the optimum area.Aiming at the problem that the standard QPSO algorithm is easily trapped in the local optimum and appear premature convergence,the evolution speed factor and aggregation degree factor of the swarm are introduced to adjust the contraction-expansion coefficient dynamically,a signal source location method based on QPSO particle filter algorithm with self-adapting adjustment of contraction-expansion coefficient is proposed.The comparison simulation experiments and example location results prove the validity of the proposed method.Finally,the software for the signal source location method based on intelligent optimized particle filter is developed based on the LabVIEW platform,a LabVIEW man-machine interface is established as a practical application platform.The proposed method can be used to location the signal source in this platform.At the same time,the electronic map is developed to directly display the location result of the signal source.