Passive Tracking Method with Two-hierarchy Sampling Based on Leg-by-leg Maneuver

Chang XI; Zhiming CAI; Jun YUAN

doi:10.11999/JEIT200975

Volume 43 Issue 10

Oct. 2021

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Chang XI, Zhiming CAI, Jun YUAN. Passive Tracking Method with Two-hierarchy Sampling Based on Leg-by-leg Maneuver[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2805-2814. doi: 10.11999/JEIT200975

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Chang XI, Zhiming CAI, Jun YUAN. Passive Tracking Method with Two-hierarchy Sampling Based on Leg-by-leg Maneuver[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2805-2814. doi: 10.11999/JEIT200975

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Passive Tracking Method with Two-hierarchy Sampling Based on Leg-by-leg Maneuver

doi: 10.11999/JEIT200975

College of Electronics Engineering, Naval University of Engineering, Wuhan 430000, China

Received Date: 2020-11-13
Rev Recd Date: 2021-05-31

Available Online: 2021-06-22

Publish Date: 2021-10-18

Abstract

Abstract

According to the low sampling efficiency of particle filter track before detecting in high dimension state space with bearing-frequency measurements of passive sonar, a two-hierarchy sampling method based on the observability of leg-by-leg maneuver is proposed. Firstly, the observability of leg-by-leg maneuver is analyzed. Secondly, the target motion model in polar coordinate system is build. Based on the uniform distribution of the distance and normal velocity of particles relative to the observation station, the method of mapping the target state vector in polar coordinate system to rectangular coordinate system is proposed. Finally, in order to improve the convergence of the filter, the covariance matrix of process noise is adaptively adjusted according to the spatial distribution of particle. Simulation results show that, compared with the traditional method, the proposed method can increase the filter convergence rate by about 47.6%, reduce the distance estimation error by about 329 m and reduce the convergence time by about 450 s.
- Track before detect,
- Particle filter,
- Bearing-frequency measurements,
- Leg-by-leg maneuver,
- Two-hierarchy sampling

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References(25)

References

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