Multi Spectral Coding in RADAR Signal Conditioning using Recurrent Spectral Mapping
K. Satish Babu1, P. S. Sarma2, Y. Madhveelatha3

1K. Satish Babu, Research Scholar, Department of Engineering and Communication Engineering, Jawaharlal Nehru Technical University, Hyderabad, India.
2P. S. Sarma, Retd. Professor, Aurora’s Technological and Research Institute, Hyderabad, India.
3Y. Madhaveelatha, Professor, Department of Engineering and Communication Engineering, Mallareddy College of Engineering for Women, Hyderabad, India.

Manuscript received on 13 August 2019 | Revised Manuscript received on 20 August 2019 | Manuscript published on 30 August 2019 | PP: 3588-3593 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97770881019/19©BEIESP | DOI: 10.35940/ijitee.J9777.0881019
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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.
Index term: Multi Spectral Coding, Radar Signal Processing, Spectral Mapping, Recurrent Coding

Scope of the Article: Digital Signal Processing Theory