Maneuvering multi-target tracking algorithm under dense clutter condition based on GPU architecture
A GPU architecture and multi-target tracking technology, which is applied in the field of mobile multi-target tracking algorithm under dense clutter conditions based on GPU architecture, can solve the problems of high clutter density and impossibility of real-time implementation, and achieve the effect of reducing the number of cycles
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[0084] The present invention proposes a processing method based on GPU architecture, and the specific implementation steps are as follows:
[0085] S1, initialize the IMM-JPDA algorithm parameters at the CPU end, as follows:
[0086] S101. Initialize various parameters of the observation environment, the parameters include: frequency observation variance, angle observation variance, distance observation variance, observation equation corresponding to frequency, angle and distance, false alarm probability, detection probability, clutter density, radar sampling interval , the covariance of each model, the threshold γ of the confirmation gate, the state vector of the trajectory at time k-1 under model j The covariance matrix corresponding to the trajectory at time k-1 under model j target i corresponds to the probability of model j
[0087] S102. Collect observation information and store it in the observation matrix Z, and store the number of observations received by the mo...
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