Venu Dunde

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



Research Interests: Engineering


D. Venu has born in INDIA in 1982. He has a total experience of 14 years in teaching electronics related courses and is currently working in Kakatiya Institute of Technology and Science, Warangal, India. He is pursuing a Ph.D. from Osmania University in the area of Radar Signal Processing. He did his M.Tech in Embedded Systems and B.Tech in electronics and communication engineering from Jawaharlal Nehru Technological University(JNTU), Hyderabad. He is a life member of IAENG (International Association of Engineers), a life member of ISTE(Indian Society for Technical Education). He has five technical publications in various journals/conferences.

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

By Venu Dunde Koteswara Rao NV

DOI:, 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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