Automatic laser power suggestion algorithm for active range gating system using Matlab and Scilab

G. Shirish Kartikrao; Adepu Rajesh; G. Prabhakar; M. Sadananadam; Visweswar Putcha

doi:10.1117/12.2580495

8 November 2020 Automatic laser power suggestion algorithm for active range gating system using Matlab and Scilab

G. Shirish Kartikrao, Adepu Rajesh, G. Prabhakar, M. Sadananadam, Visweswar Putcha

Proceedings Volume 11525, SPIE Future Sensing Technologies; 115250R (2020) https://doi.org/10.1117/12.2580495
Event: SPIE Future Sensing Technologies, 2020, Online Only

Abstract

Performance of Surveillance Systems specially in terms of Detection and Recognitions completely dominated by environmental conditions as well as depends on number of parameters like range, target size, target type etc. Accordingly use of range gating technology seems inevitable. Fast Detection and Recognitions is playing a key role in today advance technological warfare scenario. As one with faster detection system will ultimately have an edge in decision and strategy making. Numerous experiments were going on in fields of Active range gating for optimizing transmitter in terms of Illuminator’s power, divergence, receiver’s gating for different environmental situations. As a result Range gating technology is maturing day by day. Although still for specific environmental scenario user has to manually adjust the Transmitters and Receivers performance parameters which is a somewhat trial and error type and time taking process. To outwit this redundancy, algorithm based Range gating system is presented which automatically suggests Transmitter power for specific scenario. Here algorithm based mathematical model of the range gating technology is simulated by using MATLAB as well as open source software Scilab.

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Citation Download Citation

G. Shirish Kartikrao, Adepu Rajesh, G. Prabhakar, M. Sadananadam, and Visweswar Putcha "Automatic laser power suggestion algorithm for active range gating system using Matlab and Scilab", Proc. SPIE 11525, SPIE Future Sensing Technologies, 115250R (8 November 2020); https://doi.org/10.1117/12.2580495

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