Abstract. The article deals with the
problem of automatic tracking of super-maneuverable targets with tracking
sensors. Conclusions are drawn about the need for the formation of estimates of
derivatives of high-order state coordinates for tracking systems. It is dealt
with the problem of synthesis of a filtering algorithm for auto-tracking
systems for targeting on super-maneuverable targets. It is given algorithm for
filter reconfiguration by taking into account the sign of the maneuver in the
filtering algorithm. This filter is reconfigured by using a more complex state
model. The sign of the maneuver is issued by the maneuver detector, which is
triggered with a delay of 3 seconds. The filtering algorithm is investigated in
the process of modeling the laws of state coordinate changes. The
effectiveness of the filtering algorithm in modeling is determined by the
values of the potential variances, the current estimation errors and true
accuracy variances. The study concludes with the following conclusions: the
accuracy of estimation from the moment of the beginning of the maneuver depends
mainly on the latency of detection of the maneuver; when changing the structure
of the filter in the time increment k, it is necessary to correct the
values of the potential variances.
Keywords: intensive
maneuvering, tracking sensors, adaptive filtering, filter reconfiguration,
optimum filtering.
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For citation:
V. I. Merkulov, S. B. Gusarov.
Accounting maneuver
in autotrack algorithms.
Zhurnal Radioelektroniki - Journal of
Radio Electronics. 2018. No.
11. Available at
http://jre.cplire.ru/jre/nov18/7/text.pdf
DOI
10.30898/1684-1719.2018.11.7