Abstract
LPI digital receivers play an important role in Electronics Warfare. The signals are generated for LPI radar using frequency and phase modulation techniques within the pulse. It is difficult to know the modulation parameters for ESM receivers under low signal to noise ratio conditions. Advanced signal processing algorithms are applied to extract the various modulation parameters. It is not sufficient to counter attack just by knowing the parameters. Besides modulation parameters, it is important to know the type of modulation technique. In this paper, a multilayer perceptron neural network is developed to classify the type of modulation technique under various noise conditions. The results are compared with the existing techniques.
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Shyamsunder, M., Rao, K.S. (2022). Classification of LPI Radar Signals Using Multilayer Perceptron (MLP) Neural Networks. In: Kumar Jain, P., Nath Singh, Y., Gollapalli, R.P., Singh, S.P. (eds) Advances in Signal Processing and Communication Engineering. Lecture Notes in Electrical Engineering, vol 929. Springer, Singapore. https://doi.org/10.1007/978-981-19-5550-1_23
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DOI: https://doi.org/10.1007/978-981-19-5550-1_23
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