Second-Order Statistics for Threat Assessment with the PHD Filter

Narykov, Alexey; Delande, Emmanuel; Clark, D.; Thomas, Paul A.; Pétillot, Yvan

doi:10.1109/sspd.2017.8233262

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…One application recently applied the LQR to a multitarget scenario [24], though did not exploit the classical analytic results. Recent work on multi-target control has typically focussed on developing information-theoretic approaches for point process models, including Rényi divergence [25], [26], Cauchy-Schwartz divergence [27], [28], and Kullback-Leibler divergence [29], as well as using the second-order statistics of point processes to enable decision-making [30], [31].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Multi-object Guidance Laws for Interception and Rendezvous Problems

Clark¹

2022

IEEE Trans. Automat. Contr.

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This paper considers the problem of guiding an unknown number of controllable interceptors to rendezvous with the same target at the same time. It is assumed that the all of the interceptors and the target are described by linear dynamics with Gaussian noise, though the theory presented does not preclude more general models. This extends the work of Athans to consider a scenario where the number of interceptors is unknown and time-varying. In particular, the focus is on the development of a stochastic multi-object guidance law for simulaneous rendezvous and interception. The work is presented as an homage to Athans' original work which was published nearly 50 years ago.

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