Multi-target tracking model generation method in clutter environment and multi-target tracking method

• Main Authors: LIU MINTI, ZHANG HANCHENG, HU SHULIN, TAO HAIHONG, ZHANG YUHONG, ZENG CAO, LIU YU
• Format: Patent
• Language: Chinese; English
• Published: 06.08.2024
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; TESTING

The invention discloses a multi-target tracking model generation method in a clutter environment and a multi-target tracking method. The multi-target tracking model generation method comprises the steps of obtaining training data of a multi-target scene; constructing a radar multi-target tracking network based on a cross attention mechanism; and training the radar multi-target tracking network by using the training data. According to the multi-target tracking model provided by the invention, the data association probability between the estimated state of the target at the previous moment and the measured value at the current moment can be learned through the cross attention mechanism layer under the condition that no prior information exists, so that target measurement information of which clutters are eliminated at the current moment is obtained; a GRU network can be used for filtering the sum of target measurement related information obtained through residual connection to obtain the estimation state of the