Periodicity in contrast with sidelobe suppression in random signal radars

Tohidi, Ehsan; Majd, Mohammad Nazari; Bahadori, Milad; Jariani, H. H.; Nayebi, Mohammad Mahdi

doi:10.1109/cie-radar.2011.6159572

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Summing up, to mitigate the sidelobes when a relatively large

is needed (order of hundred of thousand or more) the most practical way seems to act not only on the “random process” (i.e., the overall set of waveforms) but also on its “realizations” (i.e., on each waveform), paying the price of a potential reduction of LPI/LPE. The topic of Range sidelobe attenuation has been widely published in the literature for both deterministic radar signals [ 1 , 2 ] and noise radar signals [ 15 , 16 , 20 , 21 , 22 , 23 ]. A computationally simple, effective method, suited to CE noise radars, is presented in Section 3 .…”

Section: Noise Waveforms Propertiesmentioning

confidence: 99%

Introduction to Noise Radar and Its Waveforms

Palo¹,

Galati

Pavan

et al. 2020

Sensors

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In the system-level design for both conventional radars and noise radars, a fundamental element is the use of waveforms suited to the particular application. In the military arena, low probability of intercept (LPI) and of exploitation (LPE) by the enemy are required, while in the civil context, the spectrum occupancy is a more and more important requirement, because of the growing request by non-radar applications; hence, a plurality of nearby radars may be obliged to transmit in the same band. All these requirements are satisfied by noise radar technology. After an overview of the main noise radar features and design problems, this paper summarizes recent developments in “tailoring” pseudo-random sequences plus a novel tailoring method aiming for an increase of detection performance whilst enabling to produce a (virtually) unlimited number of noise-like waveforms usable in different applications.

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“…Summing up, to mitigate the sidelobes when a relatively large

Section: Noise Waveforms Propertiesmentioning

confidence: 99%

Introduction to Noise Radar and Its Waveforms

Palo¹,

Galati

Pavan

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…The MIR and the SFM are used to characterise the information content of various signals, e.g., the ones from musical instruments [66] and, sometimes, radar signals [67].…”

Section: On the Significance Of Mir And Sfm In Radarmentioning

confidence: 99%

Counter-Interception and Counter-Exploitation Features of Noise Radar Technology

et al. 2021

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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.

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