Convolutional Windows for Side Lobe Reduction
N. Adithya Valli1, D. Elizabath Rani2, C. Kavitha3
1N. Adithya Valli, Research Scholar, Department of Electronics and Communication Engineering, Gitam University, Vishakhapatnam, India.
2D. Elizabath Rani, Professor, Department of Electronics and Instrumentation Engineering, Gitam University, Vishakhapatnam, India.
3C. Kavitha, Associate Professor, Department of Physics, Gitam University, Vishakhapatnam, India.
Manuscript received on 12 August 2019 | Revised Manuscript received on 19 August 2019 | Manuscript published on 30 August 2019 | PP: 3526-3529 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97470881019/19©BEIESP | DOI: 10.35940/ijitee.J9747.0881019
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© 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: A lot of applications in radar systems necessitate low range side-lobe performance which is achieved by pulse compression processing. Linear Frequency Modulation (LFM) signal is mainly used chirp signal for this processing. The paramount drawback in LFM is the first side-lobe level of -13dB at the receiver side. In this paper, LFM signal is modified by using simple two-stage piece wise linear frequency modulation (PWLFM) functions. The autocorrelation function of this PWLFM signal exhibited low peak sidelobe level ratio (PSLR) value compared to its counterpart LFM signal. An attempt is made to further reduce the side lobe values by using novel Convolutional windows. The simulation results confirm a significant side lobe reduction by the LFM signal designed using PWLFM functions when a more flexible Power of Cosine window function is applied compared to all other window functions.
Index Terms: Convolution Windows, LFM, PSLR, PWLFM
Scope of the Article: Nano electronics and Quantum Computing