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Abstract
Long-duration radar signals have a low-range resolution but have high-energy contents, whereas short-duration radar signals have a high-range resolution but have low-energy contents. The pulse compression technique allows the radar signal designers to achieve desired energy corresponding to long-duration signals and range resolution corresponding to short-duration signals simultaneously. The pulse compression technique is used in a high-range resolution radar to discriminate closely located targets in the same vicinity and it also improves radar parameters’ measurement accuracy. Polyphase codes are widely used as pulse compression signals in high-range resolution radar systems. The major disadvantage of pulse compression codes is unwanted correlation sidelobes at the output of the matched filter. This paper proposes the sidelobe reduction technique to reduce the Peak Sidelobes Level (PSL) of Frank polyphase codes. The weights of the proposed Sidelobes Reduction Filter (SRF) are optimized by using the Modified Genetic Algorithm (MGA). The proposed technique reduced autocorrelation peak sidelobe level significantly. Finally, the synthesized results of the proposed SRF are presented in this paper.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
A Balaraju
A Balaraju received the BTech degree in electronics and communications engineering from Jayaprakash Narayan College of Engineering, Hyderabad, Telangana, India in 2003 and an ME degree in systems and signal processing from UCE (A), Osmania University, Hyderabad, India in 2009. He is currently pursuing PhD in the Department of ECE, Jawaharlal Nehru Technological University, Hyderabad, India. His areas of interest are speech and radar signal processing and machine learning. Email: [email protected].
S. P. Singh
S P Singh received master’s and PhD degree from Osmania University. He worked for 18 years in the radar system. Presently, he is working as professor and HoD, ECE Department, Mahatma Gandhi Institute of Technology, Hyderabad, India. He has published 110 research papers in journals/conferences. He is a member of IEEE, a Life Member of ISTE (I), and a Life Fellow Member of IETE and IE (I). His current interests are radar signal design, digital signal processing, and image processing. Corresponding author. Email: [email protected]
Dhiraj Sunehra
Dhiraj Sunehra obtained the bachelor's degree in electronics and communication engineering (ECE) from Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad in 1997, master's degree in digital systems & computer electronics from Jawaharlal Nehru Technological University Hyderabad (JNTUH) in 2001, and doctoral degree in ECE from Osmania University, Hyderabad, India in 2012. He has about 73 research publications in various journals and conferences. His research interests include digital and embedded systems, green wireless communications, and global navigation satellite systems. Email: [email protected]