Research On Sound Source Target Tracking Based On Kalman Filter Algorithm

Positioning and tracking technology have been widely used in many fields such as communications,radar,medicine,sonar,and aerospace,and is quite mature,but the application of positioning and tracking technology in the field of sound is still relatively small,and the research results obtained are less.Since the sound signal is not affected by the sight and environment,the use of sound source information to locate and track targets has a wide range of application prospects.It can be used in video teleconferencing,intelligent robots,sound source monitoring,anti-sniper rifles and other fields.Information positioning and tracking of targets has increasingly become a new research hotspot.In addition,the Kalman filter algorithm already has a very mature theoretical algorithm in the target tracking application field.In this paper,the improved Kalman filter tracking algorithm is applied to the positioning and tracking of the sound source target according to the target's acoustic signal characteristics.The main work of this paper is as follows:1.In the distributed acoustic array sensor network,a mechanism based on event triggering is used to drive the acoustic array sensor to work,which solves the problem of increased communication load caused by frequent microphone communication,and effectively reduces the communication between microphones Load and energy consumption of the acoustic array sensor network.Combining with the topology and event-driven mechanism of the distributed acoustic array sensor network,we can make accurate predictions by designing appropriate state estimation equations of sound source targets,making full use of our own node measurement and state estimation information and the state estimation information of neighboring nodes.The state of the sound source target at the next moment.Using Kalman measurement gain and consensus gain to simultaneously modify the state estimate of the sound source target can improve the accuracy of the sound source target tracking.2.In the multi-sound source target tracking research,due to the uncertainty of the observation data obtained by the acoustic array sensor and the complexity of the multi-target tracking environment,there is an uncertain pairing problem between the measurement and the target,so we use a clustering algorithm.Initialize the state of multiple targets to ensure the correct data association,and then use the joint probabilistic data association(JPDA)algorithm to track the trajectory at every moment.3.Design and develop the software platform of the acoustic array sensor network target tracking system,process and analyze the sound signal of the sound source target,accurately locate and track the sound source target through the algorithm studied in this paper,and display its tracking trajectory to achieve.The purpose of real-time monitoring and analysis of sound source target status.