Multi-Sensor Space Debris Tracking for Space Situational Awareness With Labeled Random Finite Sets

Abstract

As a result of the dependence worldwide on satellite technology, it is now necessary to use advanced multi-target tracking algorithms for space debris tracking systems to maintain custody of space objects around the earth. One principal challenge is the correct association of observations with objects. This paper presents a multi-sensor, space-debris tracking algorithm using δ-generalized labeled multi-Bernoulli (δ-GLMB) filtering. The algorithm provides a solution to the key challenges (e.g., detection uncertainty, data association uncertainty, and clutter) in multiple object tracking. An efficient implementation of the multi-sensor δ-GLMB filter is proposed. In order to avoid exhaustively computing all the terms, we propose to use the ranked assignment algorithm with an extended assignment matrix for multiple sensors to determine the most significant terms. A measurement-based birth model is used to identify the previously unknown space objects. Sensors can have the same or different observation volumes. The expectation-maximization (EM) algorithm is used to approximate densities across observation volumes. The performance is demonstrated using the simulation results.

On the Security of LEO Satellite Communication Systems: Vulnerabilities, Countermeasures, and Future Trends

“…Digital currency design for debris removal [61] Multi-sensor space debris tracking [62] Reinforcement learning for debris removal [63] Multibistatic radar [64] Space Debris Reconfiguration through remote uplink [56] Periodic reconfigura -tion [57] SEU TMR [58] Fault-tolerant Viterbi decoder [59] Fault-tolerant Turbo decoder [60] Robust constrained inverse BF [52] Jamming Anti-jamming based on IRS [54] DRL and stackelberg game [53] Satellite diversity [55] Coverageexpanding [48] Inter-system interference REM based spectrum sensing [50] Heuristics based RRM [49] SIC [51] Shortest path routing with risk control [44] Node compromise Stochastic blockchain [45] Artificial neural networks based intrusion detection [46] Physical unclonable password [47] Vulnerability intelligent early warning [41] Hijacking Big Data-aided intrusion detection [42] ROAchain based on blockchain [43] Robust BF [38] Wiretap Threshold-based Scheduling [39] IRS [40] Fig. 3: Development timeline of related works for solving security vulnerabilities.…”

“…Hence the authors proposed to utilize a new digital currency associated with planned depreciation to build a sustainable economic model of debris removal. Wei et al [62] proposed a multi-sensor space debris tracking scheme based on generalized labeled multi-Bernoulli filtering, which mitigated the detection uncertainty, data association uncertainty, and clutter in debris tracking. A reinforcement learning-based framework was conceived by Yang et al [63] for solving the debris removal mission planning problem.…”

Adaptive δ-Generalized Labeled Multi-Bernoulli Filter for Multi-Object Detection and Tracking

“…Recently, the δ-generalized labeled multi-Bernoulli (δ-GLMB) filter was proposed in [10] and [11]. Its efficient implementation called the rapid GLMB (R-GLMB) filter [12] and efficient approximation called the labeled multi-Bernoulli (LMB) filter [13] were developed to reduce the high computational complexity of the δ-GLMB filter.A number of extensions of the δ-GLMB filter for diverse appli-cations have been reported in [14]- [21] to track the space debris [16], spawning object [17], multiple maneuvering targets [18], targets under glint noise [19], extended targets or group targets [20], and multiple weak targets [21]. The main advantages of the R-GLMB filter over the PHD filter and CBMeMBer filter are that it may provide object tracks and that it is applicable to the case of high clutter density and low detection probability [12]- [13], [22].…”

Design of Hypervelocity-Impact Damage Evaluation Technique Based on Bayesian Classifier of Transient Temperature Attributes

“…In recent years, more and more rockets, satellites and probes are launched into the earth's orbit [1], [2]. Collisions or explosions of these objects have caused a great deal of fragments in all kinds of sizes and shapes and over the years [3], [4].…”