Noise radar detection optimized for selected targets

Marques, Paulo

doi:10.23919/irs.2017.8008226

Cited by 3 publications

(7 citation statements)

References 5 publications

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“…In the particular scenario where certain selected man-made targets are of interest, the transmitted waveform can be further optimized [44]. The basic idea is to change the signal used as reference for detection in such a way that it is adapted to the predominant scatterers of the targets, resulting in a better matched filtering which ultimately leads to better SNR and pulse compression.…”

Section: Advanced Waveform Designmentioning

confidence: 99%

“…Coherent detection leads to efficient pulse integration which, together with the low noise figure of the LNA and high antenna gain results in the SNR shown in Table 1. With arbitrary waveform design in the digital domain, the emitted signal can be tailored to the predominant scatterers of the targets, resulting in a better matched filtering which ultimately leads to better SNR and pulse compression [9]. Also, by having 50 MHz of bandwidth both in the transmitter and receiver, ATLAS allows the usage and testing of waveforms with extremely high compression factors, making it possible to obtain distance measurements with error below 0.05% at 1000 km [4].…”

Section: Radar Systemmentioning

confidence: 99%

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Development of the First Portuguese Radar Tracking Sensor for Space Debris

Pandeirada

Bergano

Neves

et al. 2021

Signals

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Currently, space debris represents a threat for satellites and space-based operations, both in-orbit and during the launching process. The yearly increase in space debris represents a serious concern to major space agencies leading to the development of dedicated space programs to deal with this issue. Ground-based radars can detect Earth orbiting debris down to a few square centimeters and therefore constitute a major building block of a space debris monitoring system. New radar sensors are required in Europe to enhance capabilities and availability of its small radar network capable of tracking and surveying space objects and to respond to the debris increase expected from the New Space economy activities. This article presents ATLAS, a new tracking radar system for debris detection located in Portugal. It starts by an extensive technical description of all the system components followed by a study that estimates its future performance. A section dedicated to waveform design is also presented, since the system allows the usage of several types of pulse modulation schemes such as LFM and phase coded modulations while enabling the development and testing of more advanced ones. By presenting an architecture that is highly modular with fully digital signal processing, ATLAS establishes a platform for fast and easy development, research, and innovation. The system follows the use of Commercial-Off-The-Shelf technologies and Open Systems which is unique among current radar systems.

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Section: Advanced Waveform Designmentioning

confidence: 99%

Section: Radar Systemmentioning

confidence: 99%

Development of the First Portuguese Radar Tracking Sensor for Space Debris

Pandeirada

Bergano

Neves

et al. 2021

Signals

View full text Add to dashboard Cite

show abstract

“…To circumvent this limitation, an alternative methodology has recently been proposed, by this author, in which the original waveform is transmitted without any modification [9]. Instead, it is the reference signal that is modified using a composition of sums and delays of the original waveform matching those of the target of interest.…”

Section: Target Detectionmentioning

confidence: 99%

“…The present paper elaborates on the idea presented in [9] and [10], with small modifications, to make it suitable for application on passive radar systems as described in the following sections.…”

Section: Target Detectionmentioning

confidence: 99%

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Improved Detection for Passive Radar by Illumination Matching on Reference Channel

Marques

2018

2018 19th International Radar Symposium (IRS)

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A novel technique for enhancing the detection of targets of interest is presented for application on the context of passive radar. The methodology is inspired on the well known Matched Illumination technique used in active systems and applies to scenarios where the targets can be modeled as having a few predominant scatterers. Since passive systems have no control over the signals which are transmitted by the illuminators of opportunity, the paper proposes to match the signal received on the reference channel. Results show that the correlation function will be enhanced for the targets of interest, relatively to the remaining targets and the clutter on the target region.

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Artificial Intelligence applications in Noise Radar Technology

Sénica,

Marques,

Figueiredo

2024

IET Radar Sonar & Navi

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Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application. Noise Radar Technology (NRT) has the upper hand when compared to conventional radar technology in several characteristics. Its robustness to jamming, low Mutual Interference and low probability of intercept are good examples of these advantages. However, its signal processing is more complex than that associated to a conventional radar. Artificial Intelligence (AI)‐based signal processing is getting increasing attention from the research community. However, there is yet not much research on these methods for noise radar signal processing. The aim of the authors is to provide general information regarding the research performed on radar systems using AI and draw conclusions about the future of AI in noise radar. The authors introduce the use of AI‐based algorithms for NRT and provide results for its use.

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Noise radar detection optimized for selected targets

Cited by 3 publications

References 5 publications

Development of the First Portuguese Radar Tracking Sensor for Space Debris

Development of the First Portuguese Radar Tracking Sensor for Space Debris

Improved Detection for Passive Radar by Illumination Matching on Reference Channel

Artificial Intelligence applications in Noise Radar Technology

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