Optimal Search Parameters for A Random Pulsed-Point Source with the Required Accuracy
Reznik A.L.1, Soloviev A.A.2, Torgov A.V.3
1Alexander Reznik*, Probability Research Methods for Information Processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia.
2Alexander Soloviev, Probability Research Methods for Information processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia.
3Andrey Torgov, Probability Research Methods for Information processing Dep., Institute of Automation and Eletrometry, Novosibirsk, Russia.
Manuscript received on October 14, 2019. | Revised Manuscript received on 29 October, 2019. | Manuscript published on November 10, 2019. | PP: 2340-2344 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4982119119/2019©BEIESP | DOI: 10.35940/ijitee.A4982.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The questions of creating high-speed algorithms for detecting and localizing point sources having a random distribution and manifesting themselves by generating instantaneous delta pulses at random times are described. The search is carried out by a system including one or more receiving devices, and is performed taking into account the requirements for localization accuracy. It is assumed that all receivers have freely tunable viewing windows. The optimal procedure is one that minimizes (in a statistical sense) the average localization time. It is established that even with relatively low requirements for localization accuracy, the optimal procedure consists of several stages (each such stage ends at the moment of the next pulse registration). In this case, it is possible receiving system to miss some pulses generated by the source during the optimal search. In the work, the optimal search parameters are calculated depending on the number of receiving devices and the required localization accuracy. The possibility of using the results in a multidimensional case is shown.
Keywords: Search, Optimal Algorithms, Pulsed-Point Source, Localization.
Scope of the Article: Algorithm Engineering