Conventional vs. Convolutional Windows for Reduction of Side Lobes
N. Adithya Valli1, D. Elizabath Rani2, C. Kavitha3
1N.Adithya Valli, Department of Electronics and Communication Engineering, Gitam University, Vishakhapatnam, India.
2D.Elizabath Rani, Department of Electronics and Communication Engineering, Gitam University, Vishakhapatnam, India.
3C.Kavitha, Department of Physics, Gitam University, Vishakhapatnam, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1651-1654 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8405088619/2019©BEIESP | DOI: 10.35940/ijeat.F8405.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Convolutional windows analysis and performance comparison with traditional windows is main intent of the present paper. Convolutional windows are formed by convoluting the window by itself. These new class of windows are applied to a pseudo-LFM signal designed by using two stage piece wise linear frequency functions. Simulations were performed for the designed LFM signal with both the traditional and convolutional window functions are is observed that the convolutional windows yield better peak to side lobe level ratio (PSLR) values compared to traditional windows.
Keywords: Traditional, Convolution windows, LFM, PSLR.