Abstract
The general important problems in a lot of application areas are to pull out the signal of interest from background noise. Background noise is an indiscriminate form; the occurrence of the signal and the performance of signal are also indiscriminate. Thus, it is sensible to deal with the signal removal problem using methods based on optimization technique and statistical estimation. Within this paper, signal and noise environment has been encountered in active sonar system. The optimum receiver is obtainable for range-Doppler-shift dispensation in a background-noise-limited environment using firefly optimization method for dropping the noise. There are various techniques for target detection, but this paper shows a new approach for target detection using a firefly algorithm to optimize the received signal by reducing the noise. FFT-based implementation for detection of CW active sonar target using firefly optimized algorithm has been shown.
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Pavani, T., Rajeswari, M., Padma Vani, C. (2018). Detecting the Sonar Target by Using Optimization Technique. In: Satapathy, S., Bhateja, V., Chowdary, P., Chakravarthy, V., Anguera, J. (eds) Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-10-4280-5_30
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DOI: https://doi.org/10.1007/978-981-10-4280-5_30
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