Abstract
A novel approach for dual-function radar-communication (DFRC), by making use of frequency diversity in waveforms, is proposed in this paper. This is an approach to make use of an available band of spectrum (2.38–2.42 GHz) for both radar and communication. Unlike the previous approaches, the system can process both radar and communication signals simultaneously. Digitization of receive signals at the element level gives a way to deliver maximum flexibility. The use of neural network is to minimize the BER and for optimizing beam formation. MUSIC algorithm is applied to phased array to precisely estimate the arrival directions of signals.
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Anjali, K.S., Prabha, G. (2019). Dual-Function Radar-Communication Using Neural Network. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_50
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DOI: https://doi.org/10.1007/978-981-13-3600-3_50
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