• Infrared and Laser Engineering
  • Vol. 50, Issue 2, 20200343 (2021)
Guoping Shi and Yece Qian
Author Affiliations
  • Department of Mechanical and Electrical Engineering, Chizhou College, Chizhou 247000, China
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    DOI: 10.3788/IRLA20200343 Cite this Article
    Guoping Shi, Yece Qian. Application of Bernoulli filter in bearings-only tracking scenarios[J]. Infrared and Laser Engineering, 2021, 50(2): 20200343 Copy Citation Text show less
    [in Chinese]
    Fig. 1. [in Chinese]
    [in Chinese]
    Fig. 2. [in Chinese]
    [in Chinese]
    Fig. 3. [in Chinese]
    [in Chinese]
    Fig. 4. [in Chinese]
    [in Chinese]
    Fig. 5. [in Chinese]
    [in Chinese]
    Fig. 6. [in Chinese]
    SymbolDescription
    The newborn probability of the target
    The probability density function of the newborn target
    The existence probability of the target (not related to the target state in this paper)
    The Markov transition density of the target
    The priori probability of existence
    The priori probability density function
    The probability density function of the clutter
    The current measurement set
    The target detection probability
    The measurement likelihood function
    Table 1. [in Chinese]
    Algorithm 1. PF implementation of the bearings-only tracking Bernoulli filter
    (1) Input: The priori probability of existence , particle set , measurement set
    (2) Calculate the predicted probability of existence by (3).
    (3) Draw a sample for the particle set by (16), and calculate the predicted weights by (17)
    (4) Compute the likelihood ratio using (18)
    (5) Compute the posterior probability density function using (19)
    (6) Compute the posterior weights using (20) and normalize the weights
    (7) Resample and target state estimation
    (8) Output: The posterior probability of existence , particle set , target state
    Table 2. [in Chinese]
    Guoping Shi, Yece Qian. Application of Bernoulli filter in bearings-only tracking scenarios[J]. Infrared and Laser Engineering, 2021, 50(2): 20200343
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