Algebraic Algorithms to Separate Overlapping Secondary Surveillance Radar Replies

Petrochilos, Nicolas; Veen, Alle-Jan van der

doi:10.1109/tsp.2007.894248

Cited by 37 publications

(43 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference [3] has complete 1090ES signal model description. 1090ES signals is downconverted to middle frequency and sampled at rate 1/Ts.…”

Section: Signal Modelmentioning

confidence: 99%

See 1 more Smart Citation

Blind Signal Separation Algorithm for Space-based ADS-B

Liu¹,

Zhang²,

Ding³

2016

Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology

View full text Add to dashboard Cite

Abstract. Automatic Dependent Surveillance Broadcast (ADS-B) is a main technology for AirTraffic Management (ATM). As a trend of aerial surveillance, space-based ADS-B uses satellite to receive ADS-B signals to realize aerial surveillance globally. The space-based ADS-B has a series of new features that Terrestrial-based doesn't have including wider coverage, lower SNR, less power difference between signals. These new features make ADS-B signals collisions at the receiver more severe. This paper proposes a model of ADS-B signals collision pattern at the satellite based on poisson process model. This model makes the separation algorithm focus on several collision situations. This paper proposes the iterative projecting algorithm (IPA). IPA uses iteration and projecting algorithm which has less computation complexity and is more suitable for the hardware to perform. Through simulation IPA has similar performance but much lower complexity compared with other ADS-B BSS algorithms in satellite channel. IntroductionADS-B is a proven technique that is used in aviation management and surveillance. Although there are several links associated with ADS-B, 1090 Extended Squitter (1090ES) is the most common equipage, particularly amongst airline operators and others that fly above 18,000 ft. [1]. Terrestrialbased ADS-B technique faces the signal collision problem because this system is a burst communication system that doesn't have time slots allocation. When two or more signals overlap at the receiver antenna, demodulated module will generate large error codes. This will reduce system efficiency. Terrestrial-based system has a relatively limited coverage about 200nm, so the signals collision is a low probability event. Moreover the distance from different planes to the same ground station has a distinct difference so signals colliding at the receiver have a distinct power difference. A lower power signal will scarcely impact the signal with higher power level because of the receiver's dynamic minimum triggering level mechanism [2].Space-based ADS-B has obvious difference with terrestrial-based system. It remains the equipment on the planes but utilizes LEO satellites to receive 1090ES signals. Satellite coverage area contains a large amount of planes (e.g. Iridium Next equipped with ADS-B receivers support more than 3000 planes in a coverage area). Collisions of signals are quite severe in this situation. This paper will investigate the relationship between the amounts of planes with the collision pattern. An overlapping model is proposed to make the separation algorithm focus more on the main overlapping situation. Different planes in the satellite coverage almost have the same distance to the satellite so it is hardly to pick signal out using the power difference feature like ground receive station. Furthermore small difference of direction of arrival (DOA) of signals and the limited computation performance of satellite platform also restrict the separation algorithm efficiency.To solve the above problem, 1090ES signals o...

show abstract

“…Reference [3] has complete 1090ES signal model description. 1090ES signals is downconverted to middle frequency and sampled at rate 1/Ts.…”

Section: Signal Modelmentioning

confidence: 99%

“…Reference [3] proposed several algebraic methods such as MDA, AZCMA. These algorithms utilize different signal features and result in a matrix joint diagonalization problem.…”

Section: Introductionmentioning

confidence: 99%

Blind Signal Separation Algorithm for Space-based ADS-B

Liu¹,

Zhang²,

Ding³

2016

Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology

View full text Add to dashboard Cite

show abstract

“…This method permits to set the SNR of each source (hence their relative power), as well their difference in TOA. We compare the PA with the MDA [5], but also with the conventional decoding algorithm presently used, and to the version with a matched filter presented in [12]. In [3,5], mainstream algorithms [6,7,8,…] have been evaluated, which did not shown good performances.…”

Section: Experimental Performancesmentioning

confidence: 99%

“…Assuming the replacement of the singleelement antenna by an array, we proposed new algorithms to discriminate overlapped signals in previous works [3,4,5]; other solutions were also proposed in the literature [6,7,8]. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation.…”

Section: Introductionmentioning

confidence: 99%

“…High-Order Statistic Separation algorithms [7] can't be used, as the replies are ``pseudo-Gaussian'' up to order 5 [13]. Deterministic separation algorithms have been considered in [8,4,5], but they have a high computational burden, and need a joint diagonalisation of several tensors of order at least 3. In [9] and [14], we proposed two solutions addressing two different problems: the PA (Projection Algorithm) [9] separates two mixed Mode S on the condition that there are time intervals in which each one of the overlapped replies is free from overlappingwhile the EPA (Extended PA) [14] has the potential to separate any kind of mixture.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Separation of multiple secondary surveillance radar sources in a real environment for the near-far case

Petrochilos

Piracci

Galati³

2007

2007 IEEE Antennas and Propagation Society International Symposium

View full text Add to dashboard Cite

Multilateration systems based on Secondary Surveillance Radar (SSR) systems and omnidirectional antennae are operational today [1,2]. Assuming the replacement of the singleelement antenna by an array, we proposed new algorithms to discriminate overlapped signals in previous works [3,4,5]; other solutions were also proposed in the literature [6,7,8]. Unfortunately, all have either some shortcomings, or an expensive computational cost, or no simple practical implementation. Therefore, we proposed in [9] a reliable, simple, and effective projection algorithm. Nevertheless, some issues were overlooked: in particular the relative power ratio between the signals to be separated may be important, which we study in this paper with real-life signals.

show abstract

An improved time support estimation method for overlapping automatic dependent surveillance‐broadcast signals in low signal‐to‐noise ratio region

Ren

Wang

Zhang

et al. 2020

Satell Commun Network

View full text Add to dashboard Cite

Summary In the satellite‐based application, due to the low signal‐to‐noise ratio (SNR) of received signals, it is highly difficult to estimate the time support of overlapping automatic dependent surveillance‐broadcast (ADS‐B) signals, resulting in the failure of many separation algorithms. Besides, it is troublesome to determine the detection threshold for unknown noise variance. In this paper, we first present three estimation methods of noise variance based on eigenvalue decomposition, which are suitable for constant and slowly varying noise variance, respectively. The proposed time support estimation is therefore of constant false alarm rate property. Moreover, according to the characteristic of ADS‐B signals, we design a matched filter and propose two estimation schemes of direct form and indirect form, which significantly improves the estimation accuracy and detection probability. Finally, in combination of the well‐known projection algorithm (PA), it is concluded that with the proposed estimation method, PA exhibits a satisfactory separation performance at low SNRs.

show abstract

Algebraic Algorithms to Separate Overlapping Secondary Surveillance Radar Replies

Cited by 37 publications

References 27 publications

Blind Signal Separation Algorithm for Space-based ADS-B

Blind Signal Separation Algorithm for Space-based ADS-B

Separation of multiple secondary surveillance radar sources in a real environment for the near-far case

An improved time support estimation method for overlapping automatic dependent surveillance‐broadcast signals in low signal‐to‐noise ratio region

Contact Info

Product

Resources

About