Abstract
Pulse compression radar is used to simultaneously avail the benefits of both short-duration and long-duration pulses. However, the matched filter output has high side-lobe levels along with the main-lobe. These undesired side-lobe levels should be diminished to avoid blind target detection at the radar receiver. This paper defines new radar waveforms to reduce peak side-lobe level (PSL) in pulse compression radar. The proposed waveforms are designed using classical orthogonal polynomials of different orders namely-Legendre, Associated Laguerre, and Chebyshev polynomials. The performance of various polynomials is examined by varying the optimizing parameter \(\gamma \) and the polynomial which offers maximum PSL reduction is chosen while maintaining constant envelope constraint. Further, the performance of the designed polynomial is observed on the delay-Doppler plane of radar ambiguity function (AF). Simulation outcomes show that the proposed 2nd order Chebyshev orthogonal polynomial (COP) gives higher PSL reduction and superior AF performance than the other polynomials and counterpart methods.
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Thakur, A., Saini, D.S. Mitigating peak side-lobe levels in pulse compression radar using classical orthogonal polynomials. Wireless Netw 28, 2889–2899 (2022). https://doi.org/10.1007/s11276-022-03002-z
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DOI: https://doi.org/10.1007/s11276-022-03002-z