noise radar
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2022 ◽  
Vol 13 (3) ◽  
pp. 279-289
Author(s):  
Xingyu Lu ◽  
Jianchao Yang ◽  
Ke Tan ◽  
Weimin Su ◽  
Hong Gu

2021 ◽  
Vol 13 (22) ◽  
pp. 4509
Author(s):  
Gaspare Galati ◽  
Gabriele Pavan ◽  
Kubilay Savci ◽  
Christoph Wasserzier

In defense applications, the main features of radars are the Low Probability of Intercept (LPI) and the Low Probability of Exploitation (LPE). The counterpart uses more and more capable intercept receivers and signal processors thanks to the ongoing technological progress. Noise Radar Technology (NRT) is probably a very effective answer to the increasing demand for operational LPI/LPE radars. The design and selection of the radiated waveforms, while respecting the prescribed spectrum occupancy, has to comply with the contrasting requirements of LPI/LPE and of a favorable shape of the ambiguity function. Information theory seems to be a “technologically agnostic” tool to attempt to quantify the LPI/LPE capability of noise waveforms with little, or absent, a priori knowledge of the means and the strategies used by the counterpart. An information theoretical analysis can lead to practical results in the design and selection of NRT waveforms.


Author(s):  
Lukasz Maslikowski ◽  
Marcin Baczyk ◽  
Krzysztof Kulpa ◽  
Piotr Tomikowski
Keyword(s):  

2021 ◽  
Author(s):  
Xingyu Lu ◽  
Wenchao Yu ◽  
Mengying Xia ◽  
Weimin Su ◽  
Hong Gu

Author(s):  
K. Lukin ◽  
V. Palamarchuk ◽  
O. Zemlyaniy ◽  
D. Tatyanko ◽  
S. Lukin

2021 ◽  
Vol 13 (12) ◽  
pp. 2372
Author(s):  
Kubilay Savci ◽  
Gaspare Galati ◽  
Gabriele Pavan

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.


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