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Engineering Bulletin # 05, May 2017
УДК: 621.3.09
Effectiveness Analysis of Implementing Digital Measurement of Signal Parameters
Radiooptics # 05, September 2015
DOI: 10.7463/rdopt.0515.0812966
pp. 52-67

Engineering Bulletin # 06, June 2015
УДК: 621.396.621

Engineering Bulletin # 10, October 2014
УДК: 621.396.621

Engineering Bulletin # 10, October 2014
УДК: 621.396.621

Engineering Bulletin # 11, November 2014
УДК: 303.732.4

Engineering Bulletin # 09, September 2014
УДК: 621.396.621
Algorithm for determination of location of ground objects under conditions of input data of low accuracy
Engineering Education # 12, December 2013
DOI: 10.7463/1213.0659353
In this paper the authors consider an algorithm for determination of ground objects’ location in the space-based passive radar system under conditions of the input data of low accuracy. Use of a passive radar allows to determine the location of ground objects, in particular, active radiolocation stations by its radiation under conditions of low energy consumption on board of a spacecraft. In this regard, bearing accuracy is quite low at the output of a signal processor. Lack of computing resources, which is typical for embedded systems, must be also taken into account. These features make it difficult to synthesize an effective location algorithm carrying out secondary radar data processing. In this paper theoretical theses of the location algorithm and particularities of its implementation within a space-based embedded computer are presented. In particular, it is subject to bearing accuracy achievable in the algorithm and processing of vast surveillance zone which is challenging due to lack of computing resources.
Locking trajectories in the automatic survey mode with input data of low accuracy
Engineering Education # 11, November 2013
DOI: 10.7463/1113.0638017
This article deals with real-world problems of secondary digital processing of radar data in an autonomic survey radar subsystem. Essential aspects and complexities of trajectory processing in such kind of systems were revealed. A review of existent algorithms for locking trajectories as an important stage of secondary processing was presented. An algorithm for locking target trajectories, which takes into account low accuracy of the input data, was developed; this algorithm was considered to be optimal by the maximum likelihood criterion. Mathematical simulation which demonstrates satisfactory performance of the proposed algorithm, including the case of data with an intense noise, was carried out.
 
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