Similar articles

Abstract: For the problem of tracking maritime dim targets, the sequential Monte–Carlo multi-Bernoulli track-before-detect (SMC-MB-TBD) method is popular. However, this method may face low tracking accuracy and tracking loss due to particle impoverishment and velocity uncertainty. In this study, a novel filter called position scaling and velocity correction multi-Bernoulli (PSVC-MB) is proposed to deal with this problem. First, particle position scaling is used to replace resampling in the SMC-MB-TBD method to deal with the lack of particle diversity. Second, when the target is stably tracked, the target velocity is extracted from the multi-frame information and used for re-estimation. Pseudo point measurements are calculated from the weighted average of all locations near the particle position, and the particle velocity will be continuously corrected with the pseudo point measurements. Simulation results verify the effectiveness of the proposed method at different low signal-to-clutter ratios (SCRs).

一种用于跟踪多海面弱目标的高效多伯努利滤波器

[1]Abraham DA, Lyons AP, 2002. Novel physical interpretations of K-distributed reverberation. IEEE J Ocean Eng, 27(4):800-813.

[2]Armstrong BC, Griffiths HD, 1991. CFAR detection of fluctuating targets in spatially correlated K-distributed clutter. IEE Proc F Radar Signal Process, 138(2):139-152.

[3]Chesser JA, Nguyen HV, Ranasinghe DC, 2022. The Megopolis resampler: memory coalesced resampling on GPUs. Dig Signal Process, 120: 103261.

[4]Davey SJ, Rutten MG, 2007. A comparison of three algorithms for tracking dim targets. Information, Decision and Control, p.342-347.

[5]Davey SJ, Gaetjens HX, 2018. Track-Before-Detect Using Expectation Maximisation—The Histogram Probabilistic Multi-Hypothesis Tracker: Theory and Applications. Springer, Singapore.

[6]Ester M, Kriegel HP, Sander J, et al., 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. Proc 2^nd Int Conf on Knowledge Discovery and Data Mining, p.226-231.

[7]Guo YF, Teng K, Shi LW, 2023. SA-HPMHT for maritime dim targets tracking with sensor location uncertainty. IEEE Sens J, 23(5):5134-5145.

[8]Kim DY, Ristic B, Wang XZ, et al., 2019. A comparative study of track-before-detect algorithms in radar sea clutter. Int Radar Conf, p.1-6.

[9]Kim DY, Ristic B, Guan R, et al., 2021. A Bernoulli track-before-detect filter for interacting targets in maritime radar. IEEE Trans Aerosp Electron Syst, 57(3):1981-1991.

[10]Li WJ, Yi W, Kong LJ, et al., 2022. An efficient track-before-detect for multi-PRF radars with range and Doppler ambiguities. IEEE Trans Aerosp Electron Syst, 58(5):4083-4100.

[11]Liang MC, Kropfreiter T, Meyer F, 2023. A BP method for track-before-detect. IEEE Signal Process Lett, 30:1137-1141.

[12]Moyer LR, Spak J, Lamanna P, 2011. A multi-dimensional Hough transform-based track-before-detect technique for detecting weak targets in strong clutter backgrounds. IEEE Trans Aerosp Electron Syst, 47(4):3062-3068.

[13]Papi F, Vo BN, Vo BT, et al., 2015. Generalized labeled multi-Bernoulli approximation of multi-object densities. IEEE Trans Signal Process, 63(20):5487-5497.

[14]Posner FL, 2002. Spiky sea clutter at high range resolutions and very low grazing angles. IEEE Trans Aerosp Electron Syst, 38(1):58-73.

[15]Reuter S, Vo BT, Vo BN, et al., 2014. The labeled multi-Bernoulli filter. IEEE Trans Signal Process, 62(12):3246-3260.

[16]Ristic B, Arulampalam S, Gordon N, 2004. Beyond the Kalman Filter: Particle Filters for Tracking Applications. Artech House, London, UK.

[17]Ristic B, Vo BT, Vo BN, et al., 2013. A tutorial on Bernoulli filters: theory, implementation and applications. IEEE Trans Signal Process, 61(13):3406-3430.

[18]Ristic B, Rosenberg L, Kim DY, et al., 2020. Bernoulli track-before-detect filter for maritime radar. IET Radar Sonar Navig, 14(3):356-363.

[19]Ristic B, Kim DY, Rosenberg L, et al., 2022. Exploiting Doppler in Bernoulli track-before-detect for a scanning maritime radar. IEEE Trans Aerosp Electron Syst, 58(1):720-728.

[20]Tian MC, Chen ZM, Wang HF, et al., 2022. An intelligent particle filter for infrared dim small target detection and tracking. IEEE Trans Aerosp Electron Syst, 58(6):5318-5333.

[21]Vo BN, Vo BT, Pham NT, et al., 2010. Joint detection and estimation of multiple objects from image observations. IEEE Trans Signal Process, 58(10):5129-5141.

[22]Vu HX, Davey SJ, Arulampalam S, et al., 2013. H-PMHT with a Poisson measurement model. Int Conf on Radar, p.446-451.

[23]Ward K, Tough R, Watts S, 2013. Sea clutter: scattering, the K distribution and radar performance. Waves Random Compl Med, 17(2):233-234.

[24]Xu C, He ZS, Liu HC, et al., 2021. Bayesian track-before-detect algorithm for nonstationary sea clutter. J Syst Eng Electron, 32(6):1338-1344.

[25]Yi W, Morelande MR, Kong LJ, et al., 2013. An efficient multi-frame track-before-detect algorithm for multi-target tracking. IEEE J Sel Top Signal Process, 7(3):421-434.