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Journal Radioengineering №1 for 2016 г.
Article in number:
Time balance equation for a network radar system
Keywords:
networking radar system
electron anticounter measures
queueing [waiting] system
(carrying) capacity
the flow of true and false submissions
Authors:
S.P. Barinov - Dr. Sc. (Eng.), Senior Research Scientist, Corresponding Member of Russian Academy of Engineering, Deputy General Director, JSC «Kaluga Scientific Research Radio Engineering Institute»
V.N. Grib - General Director JSC «Kaluga Scientific Research Radio Engineering Institute»
I.G. Nasenkov - MBA, DBA, First Deputy General Director JSC «CRET»
Yu.I. Majewski - Dr. Sc. (Eng.), General Designer Electronic Warfare, Deputy General Director JSC «CRET»
Abstract:
One of the crucial directions for improvement of radar systems by technically developed countries for the period until 2025 is to increase their conflict resistance when affected by jamming, which is achievable by adaptive control of signal parameters and operation modes, implementation of various anti-jamming circuits and techniques as well as combination of separate radars into spaced radar systems. Radars of the same type build up networking radar systems, functioning of which, like in a single radar case, should be generally governed by the energy balance equation, which in case of limited averaged radar power conforms with the time balance equation. As applied to a single radar the time balance equation is considered in detail in the known literature, whereas the issues of its adaptation for a network radar system case were not covered in the required way. Elaboration of such an equation is determined by the necessity to provide correct rationale for strategies of control over the limited time (energy) resource of the radar system and evaluation of its potential capabilities in handling a large number of threats in various functional modes.
The objective of this paper consists in the development of a time balance equation for a network radar system, which being applied under unified methodologic approach allows for description of functioning and evaluation of potential capabilities of such systems with account for optimization of time resource allocation among different operation modes.
The paper is composed of two parts. The first part considers specifics of functioning by advanced network radar systems and principles of deriving a logical-formal model of a typical radar system based on the mass service system theory. The second part represents main relationships of the time balance equation for the network radar system and modeling results characterizing its potential capabilities in handling arriving flow of true and false targets.
During the research in progress it was assumed, without loss in generality, that the network radar system could function in modes of scanning (detection), acquisition, tracking of targets and should provide for handling maximal number of targets within the area of its responsibility. Meanwhile, targets being tracked are grouped priority-wise, thus defining the order of their handling. Then, in the context of mass service theory applied to multichannel information systems [3, 4] the process of functioning of a network radar system can be represented as a multiphase mass service system (Q circuit).
In the Q circuit concerned there are two interrelated circulating request flows: external one representing signal-jamming environment within the network radar system coverage, and internal one that represents demands of the system for active or passive sensing in the interests of different handling phases. The demands for handling requests in consequent phases are satisfied in the first-come-first-served order formed in compliance with their priorities. The inner flow of requests arrives at the input of the network radar transceiving subsystem comprised of radars spaced apart. This subsystem also can be represented as a multichannel mass service system (Q circuit) with a queue, heterogeneous flows and limited request wait.
On the whole when describing the functioning process and evaluating the throughput of a network radar system we considered a two-flow mass service system including two interconnected queuing systems: a multiphase Q circuit oriented at handling external request flow, and a multichannel system handling internal requests.
An equation of time balance for a network radar system was elaborated, which is distinctive from the known ones by its feature to keep track of structural (number and sizes of coverage areas) and signal (types and parameters of probing signals, logics of trajectory locking-in and breaking-out) characteristics of a radar system as well as external system demands (target priorities, number of tracking bounds, etc.), and establishing resource interrelation between various modes of its operation within the frames of the specified constraints. This made it possible to substantiate strategies for control of limited time (energy) resource and develop a logic-probabilistic algorithm of functioning of a network radar system as a multifunction system which handles a large number of requests-targets in various functional modes. Based on the verbal model of a network radar system its simulation model was elaborated reproducing the logic-probabilistic algorithm of functioning of a two-flow five-phase mass service system within the frames of the time balance equation with account for the flows of true and false targets with various priorities. When evaluating the potential target handling rate by the radar system the functional peculiarities of its various modes of operation and priorities of handling true and false targets were taken into account. This made it possible to show that the second phase of the mass service system (acquisition mode) as compared to the rest ones is characterized with the lowest jamming invulnerability (for the second phase of handling the relationship between the throughput and the rate of false target input flow has practically threshold nature and requirements to the threshold SNR are higher up by 7-10 dB), and to a great extent defines probabilistic parameters of request handling at the following phases.
Pages: 5-17
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