In the electronic countermeasures environment, efficient power allocation is the key to guaranteeing the radar tracking accuracy, an unreasonable power may result in the radar transmit pulse being intercepted by the electronic reconnaissance receiver (ERR). As the number of intercepted pulses increases, the radar transmit signal would be identified and the radar would be jammed by the suppressive jamming, thus, the tracking accuracy would be decreased sharply. Therefore, in this article, to suppress the jamming threat, the power allocation problem for radar tracking under low probability of intercept (LPI) constraint is investigated. However, radar and ERR are noncooperative, the parameters of the ERR are considered unavailable, resulting in the unavailable explicit analytical expression of this power allocation problem. We focus on the effect of suppressive jamming on the radar received echo pulse queue and propose an interacting multiple power (IMP) based power allocation algorithm. Specifically, different lengths of echo pulse queues are processed in parallel, and different filtering results could be obtained by using the probability data association filters. These filtering results could be used as the feedback to update the parameters of the IMP-based algorithm, thus, dynamically adjust the radar transmit power at the next tracking frame. Numerical simulation results are presented to demonstrate that, in the electronic countermeasures environment, the tracking accuracy could be improved and efficient LPI performance could be maintained by consuming less power with the proposed IMP-based power allocation algorithm.


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    Titel :

    Power Allocation for Radar Tracking With LPI Constraint and Suppressive Jamming Threat


    Beteiligte:
    Xu, Longxiao (Autor:in) / Zhang, Tianxian (Autor:in) / Ma, Zhijie (Autor:in) / Wang, Yuanhang (Autor:in)


    Erscheinungsdatum :

    01.02.2024


    Format / Umfang :

    2921399 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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