Spaceborne Radar Sensor Architecture for Debris Detection and Tracking

Maffei, Marco; Aubry, Augusto; Maio, Antonio De; Farina, A.

doi:10.1109/tgrs.2020.3029384

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…Recently, Maffei et al in ref. [17] define the architecture of a monopulse-based pulse Doppler radar in Kaband, equipped with an active electronically scanned array antenna, CFAR-like processing and Bayesian tracker for debris detection and tracking. The proof-of-concept has been extended to multiple-input-multiple-output (MIMO) in order to improve surveillance capability [18].…”

Section: Space Debris Detection and Tracking With Radar And Radio-tel...mentioning

confidence: 99%

Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing

Massimi,

Ferrara,

Petrucci

et al. 2024

IET Radar Sonar & Navi

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The increasing number of space objects (SO), debris, and constellation of satellites in Low Earth Orbit poses a significant threat to the sustainability and safety of space operations, which must be carefully and efficiently addressed to avoid mutual collisions. The space situational awareness is currently addressed by an ensemble of radar and radio‐telescopes that detect and track SO. However, a large part of space debris is composed of very small and tiny metallic objects, very difficult to detect. The authors demonstrate the benefits of using deep learning (DL) architectures for small space object detection by radar observations. TIRA radio telescope has been simulated to generate range‐Doppler maps, then used as inputs for object detection exploiting You‐Only‐Look‐Once (YOLO) frameworks. The results demonstrate that the object detection by using YOLO algorithms outperform conventional target detection approaches, thus indicating the potential benefits of using DL techniques for space surveillance applications.

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Section: Space Debris Detection and Tracking With Radar And Radio-tel...mentioning

confidence: 99%

Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing

Massimi,

Ferrara,

Petrucci

et al. 2024

IET Radar Sonar & Navi

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“…According to the literature [2], there are currently around 3000 artificial satellites in orbit, about 2000 of which are in low-Earth orbit, i.e., up to altitudes of 2000 km and it is very probable that this number will increase by orders of magnitude in the next decade [3]. This growth represents a great opportunity but, at the same time, increases the debris problem, a topic already faced by several research groups [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

CubeSat satellite patch antenna designed with 3D printable materials: a numerical analysis

Pittella¹,

D’Alvia²,

Piuzzi³

2023

J. Phys.: Conf. Ser.

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The paper presents a compact patch antenna system designed using 3D printable materials and compatible with any CubeSat satellite structure. Small satellites are transforming the space industry, allowing space access with an important cost reduction for satellite industries and a shorter plan development time compared to bulky satellites. Moreover, using additive manufacturing, it is possible to design specific system components, also with a complex geometry of the inner part, without material wasting. Furthermore, a key point of 3D printing is to allow to go from design to construction straight, having an enormous effect on the supply chain. Generally, CubeSats count on Very High Frequency and Ultra High Frequency communication systems for low bit-rate uplink and downlink. Instead, S-band is among the favourite choices for high bit rates since the frequency range 2.40–2.45 GHz is one of the International Telecommunication Union (ITU) amateur satellite frequency range. An S-band printed antenna system is designed in the present paper, considering the limitations on size and the weight of CubeSat standard. The antenna system is simulated with an electromagnetic CAD, using the polylactic acid as substrate, or polylactide, a thermoplastic polyester widely used in 3D printing.

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“…The TRMs are composed of various components, such as a power amplifier, phase shifter, and many passive elements that have frequency-dependent characteristics [5]. In the narrowband assumption, the frequency-dependent characteristics are negligible, and the TRMs are assumed to have constant characteristics in the frequency domain [6].…”

Section: Introductionmentioning

confidence: 99%

Calibration of Wideband LFM Radars Based on Sliding Window Algorithm

Kim,

Kim

et al. 2023

Electronics

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This paper addresses the challenges of wideband signal beamforming in radar systems and proposes a new calibration method. Due to operating conditions, the frequency-dependent characteristics of the system can be changed, and the amplitude, phase, and time delay error can be generated. The proposed method is based on the concept of the sliding window algorithm for linear frequency modulated (LFM) signals. To calibrate the frequency-dependent errors from the transceiver and the time delay error from the true time delay elements, the proposed method utilizes the characteristic of the LFM signal. The LFM signal changes its frequency linearly with time, and the frequency domain characteristics of the hardware are presented in time. Therefore, by applying a matched filter to a part of the LFM signal, the frequency-dependent characteristics can be monitored and calibrated. The proposed method is compared with the conventional matched filter-based calibration results and verified by simulation results and beampatterns. Since the proposed method utilizes LFM signal as the calibration tone, the proposed method can be applied to any beamforming systems, not limited to LFM radars.

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Spaceborne Radar Sensor Architecture for Debris Detection and Tracking

Cited by 9 publications

References 40 publications

Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing

Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing

CubeSat satellite patch antenna designed with 3D printable materials: a numerical analysis

Calibration of Wideband LFM Radars Based on Sliding Window Algorithm

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