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Koteswara Rao NV

Work place: CBIT, Dept.of ECE, Hyderabad, 500 007, India

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Research Interests: Engineering

Biography

N V Koteswara Rao has born in INDIA in 1966. He has a vast experience of 28 years and has been working in Chaitanya Bharathi Institute of Technology(A), Hyderabad, India, since 1992. He did his Ph.D. from Osmania University in the area of “Microstrip Antennas”, M.Techin field of Microwave Electronics from University of Delhi and B.Tech in field of electricity and communication engineering from Nagarjuna University. He is a Fellow of IETE, life member of ISTE and IEEE. Presently, he is the Professor and ‘Director-Academics’. Under his supervision, two scholars have been awarded Ph.D. and nine Ph.D. research scholars are pursuing. He has been awarded the ‘Best Teacher’ of the institute and ‘Distinguished Teacher’ of the department.  He has published sixty four technical publications in various journals/conferences and has filed one patent to his credit. He has successfully completed two R&D projects, one MODROB project and two FDP programs which are sponsored by AICTE. He has completed one in-house project and two consultancy projects from RCI/ISRO. Presently, he is associated with two R&D projects.

Author Articles
Weight Matrix-Based Representation of Sub-Optimum Disturbance Cancellation Filters

By Venu Dunde Koteswara Rao NV

DOI: https://doi.org/10.5815/ijisa.2019.10.02, Pub. Date: 8 Oct. 2019

The disturbance cancellation techniques are investigated in this paper for Passive Bistatic Radars. The conventional procedure is to compute a clean signal by iteratively constructing an error vector from the residual of the surveillance samples after subtraction of a linear combination of clutters samples. A weight vector is eventually extracted in pure block algorithms, while a weight matrix is computed in iterative schemes. It is illustrated in this paper that the computed weight matrix in the latter case contains valuable information describing the clutters properties. The weight matrix-based disturbance attenuation technique is then innovated and its effectiveness is compared to the conventional error-based procedure in the test bed of several available iterative algorithms. Moreover, a revision of the FBLMS algorithm is presented to cover the case of complex input signals.

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