Low-PAPR Waveforms with Shaped Spectrum for Enhanced Low Probability of Intercept Noise Radars

Remote Sensing

Gabriele Pavan¹  Gaspare Galati¹  Kubilay Savci² 

[1] Department of Electronic Engineering, Tor Vergata University and CNIT-Consortium for Telecommunications, 00133 Rome, Italy;Turkish Naval Research Center Command and Department of Electrical and Electronics Engineering, Graduate School of Sciences and Engineering, Koc University, 34450 Istanbul, Turkey;

关键词: noise radar;    noise waveforms;    waveform design;    PAPR reduction;    Low Probability of Intercept;   

DOI  :  10.3390/rs13122372

来源: DOAJ

【 摘 要 】

Noise radars employ random waveforms in their transmission as compared to traditional radars. Considered as enhanced Low Probability of Intercept (LPI) radars, they are resilient to interference and jamming and less vulnerable to adversarial exploitation than conventional radars. At its simplest, using a random waveform such as bandpass Gaussian noise as a probing signal provides limited radar performance. After a concise review of a particular noise radar architecture and related correlation processing, this paper justifies the rationale for having synthetic (tailored) noise waveforms and proposes the Combined Spectral Shaping and Peak-to-Average Power Reduction (COSPAR) algorithm, which can be utilized for synthesizing noise-like sequences with a Taylor-shaped spectrum under correlation sidelobe level constraints and assigned Peak-to-Average-Power-Ratio (PAPR). Additionally, the Spectral Kurtosis measure is proposed to evaluate the LPI property of waveforms, and experimental results from field trials are reported.

【 授权许可】

Unknown