Multi spectral coding in RADAR signal conditioning using recurrent spectral mapping

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Abstract

Observed varying interference in radar signal processing limits the accuracy of target detection. Signal processing approaches using spectral coding are used in computing the Doppler. The spectral processing are however computationally slower due to large processing coefficients. In this paper, a new selective process for spectral bands is proposed using recurrent band mapping to derive a scale level selection in radar processing. A stopping criterion developed, limits the additional computation overhead in radar signal processing, and reduces the delay in computation of decision making. The simulation of the proposed approach validates the Doppler profile and delay parameter under different data rate and fractional order of receiving signal.

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Satish Babu, K., Sarma, P. S., & Madhveelatha, Y. (2019). Multi spectral coding in RADAR signal conditioning using recurrent spectral mapping. International Journal of Innovative Technology and Exploring Engineering, 8(10), 3588–3593. https://doi.org/10.35940/ijitee.J9777.0881019

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