Multi-beam antenna for space-based ADS-B

Bettray, A.; Litschke, O.; Baggen, L.

doi:10.1109/array.2013.6731832

Cited by 11 publications

(7 citation statements)

References 1 publication

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“…T is the regression coefficients vector of the second-order polynomials, and can be solved by the least-squares estimation method (1) y (2) . .…”

Section: Polynomial Response Regression (Prs)mentioning

confidence: 99%

“…In recent decades, satellite constellation networks have been developed to provide multiple ground traffic services for continuous global coverage, which can effectively supplement the coverage-limited terrestrial networks, such as air traffic monitoring [1] and ship trajectory identification [2]. Since the traffic distribution is geographically non-uniform, e.g., aircraft traffic distribution is dense in population agglomeration while scarce in vast ocean regions, satellite coverage traffic volume (SCTV) changes drastically during the satellite movement.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Effective Surrogate Ensemble Modeling Method for Satellite Coverage Traffic Volume Prediction

Zhang

Yao³

et al. 2019

Applied Sciences

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The satellite constellation network is a powerful tool to provide ground traffic business services for continuous global coverage. For the resource-limited satellite network, it is necessary to predict satellite coverage traffic volume (SCTV) in advance to properly allocate onboard resources for better task fulfillment. Traditionally, a global SCTV distribution data table is first statistically constructed on the ground according to historical data and uploaded to the satellite. Then SCTV is predicted onboard by a data table lookup. However, the cost of the large data transmission and storage is expensive and prohibitive for satellites. To solve these problems, this paper proposes to distill the data into a surrogate model to be uploaded to the satellite, which can both save the valuable communication link resource and improve the SCTV prediction accuracy compared to the table lookup. An effective surrogate ensemble modeling method is proposed in this paper for better prediction. First, according to prior geographical knowledge of the SCTV distribution, the global earth surface domain is split into multiple sub-domains. Second, on each sub-domain, multiple candidate surrogates are built. To fully exploit these surrogates and combine them into a more accurate ensemble, a partial weighted aggregation method (PWTA) is developed. For each sub-domain, PWTA adaptively selects the candidate surrogates with higher accuracy as the contributing models, based on which the ultimate ensemble is constructed for each sub-domain SCTV prediction. The proposed method is demonstrated and testified with an air traffic SCTV engineering problem. The results demonstrate the effectiveness of PWTA regarding good local and global prediction accuracy and modeling robustness.

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“…T is the regression coefficients vector of the second-order polynomials, and can be solved by the least-squares estimation method (1) y (2) . .…”

Section: Polynomial Response Regression (Prs)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Surrogate Ensemble Modeling Method for Satellite Coverage Traffic Volume Prediction

Zhang

Yao³

et al. 2019

Applied Sciences

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“…Many publications have investigated the solutions to suppressing the FRUIT. A multi‐beam antenna is designed for space‐based ADS‐B to mitigate the interference through spatial diversity. Sunquan et al and Galati et al introduced separation methods with a single channel for the overlapped ADS‐B signals.…”

Section: Introductionmentioning

confidence: 99%

A prototype of high‐sensitivity noncoherent receiver for ADS‐B signals

Ren

Wang

Yang

et al. 2020

Satell Commun Network

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In this paper, we design a high-sensitivity noncoherent receiver for the reception of automatic dependent surveillance-broadcast (ADS-B) signals in a satellite-based application. The proposed receiver is of constant false alarm rate (CFAR) property and implemented completely by the field programmable gate array (FPGA). Two vital parameters of the receiver, probabilities of detection and correct reception, are analytically formulated and validated by Monte Carlo simulations as well. We examine the availability of algorithms exploited in the proposed receiver by feeding the real ADS-B signals collected near the Nanjing Lukou International Airport. Then, we build a receiver prototype. Some prototype tests are carried out in the laboratory. We find out that the sensitivity of the proposed receiver is approximately −98 dBm, corresponding to the probability of correct reception equal to 0.93, and it is consistent with the theoretical value. KEYWORDSADS-B, high sensitivity, noncoherent receiver, prototype test, theoretical analysis INTRODUCTIONBecause of its abundant advantages over radar infrastructure, 1,2 automatic dependent surveillance-broadcast (ADS-B) has been promoted worldwide, eg, the next-generation air traffic management (ATM) system 3 and the Single European Sky ATM Research (SESAR). 4 However, global monitoring is troublesome for the lack of ground stations in some extreme regions. The satellite-based ADS-B application is then put forward to alleviate this problem. Baker elaborated on the performance, architecture, and market of space-based ADS-B. 5 Besides, the in-orbit demonstration of satellite-based ADS-B is accomplished in Werner et al, 6 Knudsen et al, 7 and Noschese et al. 8 The first major problem for space-based ADS-B is the false replies uncorrelated in time (FRUIT). Many publications have investigated the solutions to suppressing the FRUIT. A multi-beam antenna 9 is designed for space-based ADS-B to mitigate the interference through spatial diversity. Sunquan et al 10 and Galati et al 11 introduced separation methods with a single channel for the overlapped ADS-B signals. Array antenna 12-15 is also exploited to separate the ADS-B replies. Another obstacle for satellite-based reception of ADS-B signals is a low signal-to-noise ratio (SNR), which arises from the long transmission distance. Therefore, it requires a high sensitivity of the satellite receiver. It is stated in the document DO-260B 16 that the ADS-B Class A3 equipment receiver has a sensitivity of −84 dBm, which is much higher than the minimum power level of around −100 dBm received in space. 6 Receivers presented in Peng et al 17 and Jinan and Chaozhu 18 achieve a sensitivity of −90 dBm. Mangali and Bagmare 19 designed an ADS-B receiver that is capable of detecting aircraft with a maximum distance of 470 km. A multichannel ADS-B receiver for small satellite-based aircraft surveillance is proposed in Budroweit et al. 20 For each individual channel, the input power levels of correctly demodulated replies are measured and exhibit values...

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“…The former arises from the same 1090 MHz frequency that ADS‐B signals share with other Mode S or A/C messages. In addition to sectorised antennas [17, 18], various separation algorithms are also effective methods to resolve this problem [19–22]. The latter, low SNR, is also a vital factor that cannot be ignored.…”

Section: Introductionmentioning

confidence: 99%